Seraphnet (𝟘,𝟷)
@seraphnet
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Decentralized base layer for generative AI apps Empowering a new generation of trustless and unbiased inference Incubated by @zero1_labs
Joined March 2024
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Seraphnet introduces an ideologically transparent Playground for Generative AI apps, powered by RAG technology and a powerful LLMOps infrastructure.
Our mission is to unlock the full potential of modern LLMs stifled by an inefficient and biased app layer.
A thread 🧵
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Nearly 38 years of experience combined.
Today we focus on the talented development, product, and research team driving the R&D work at Seraphnet.
Find our more 🧵
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We couldn't have done this without each and every one of you, so a heartfelt thank you to all the community members for your time and effort.
Seraphnet is just ramping up - discover what May will bring 🧵
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Seraphnet Changelog
#3
Link:
This week's article is centred around crewAI and how we use it in the context of prompt engineering, RAG and Swarm Manager.
Highlights thread 🧵
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Seraphnet Changelog
#2
Link:
This week's article focuses on everything ops: Data Operations (DataOps), Machine Learning Operations (MLOps), Large Language Model Operations (LLMOps) and Kubernetes!
Highlights thread 🧵
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Technical Update
#5
: Embracing Hydra
Link:
This week, we delve into enhancing our Retrieval-Augmented Generation (RAG) implementation by adopting the Hydra Template by
@Hydra_Framework
for structured configuration management 🧵
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We're delighted to announce
@nagoyacastle999
- Ljubisa Bojic, PhD as our Scientific Collaborator.
Alongside Dr. Bojic, we'll embark on a pioneering research program, aiming to publish our groundbreaking white paper in prestigious Q1 research journals.
Learn more 🧵
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This time we'd like to focus on something a bit less technical, although equally important - the conceptual framework behind Seraphnet.
Today we'll talk about one of the key ideas called "ideological transparency in AI systems" - and why it matters to us.
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Github Update
#1
: Introducing a new collaborator and establishing our core repositories.
We're very happy to welcome our newest collaborator, talented developer and aspiring AI PhD, Kamil:
Additionally, we've laid down the foundational repositories 🧵
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Strategic update - we are breaking free from relying only on commercial LLMs and embracing the open-source revolution with
@MistralAI
and
@lmsysorg
's Vicuna
More information in our newest blog post:
Find out what it means for our infrastructure 🧵
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Curious about the inner workings of AI apps?
Join us as we explore the data pipeline of Clearpill, Seraphnet's upcoming flagship GenAI app designed to remove ideological bias from text input 🧵
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We are excited to announce a significant revamp of Seraphnet's technical documentation on GitHub.
Our team has worked diligently to enhance the existing documentation, providing more detailed insights into our infrastructure.
Key highlights 🧵
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We are proudly announcing our very first ecosystem partnership with
@Rivalz_AI
.
By joining forces with Rivalz, Seraphnet gains a powerful ally in our mission to build the base layer for ideologically transparent generative AI apps.
Find out more below 🧵
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We're excited to announce the integration of Scrapegraph AI into our web scraping part of the infrastructure.
Link:
In essence, Scrapegraph AI empowers our users to build intelligent Swarm Pods fueled by real-time web data.
More information below 🧵
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Introducing our Research-to-Airdrop Program
This invite-only initiative aims to measure Clearpill's current performance in a controllable manner.
Cohort 1 (20 testers) is opening this month.
More details below🧵
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Seraphnet Changelog
#1
Link:
This kicks off a weekly series sharing insights into our data architecture, ops, prompt engineering, and more. This week, we dive into foundational elements of our data ecosystem.
Highights thread 🧵
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Over the last few weeks, our community has nearly doubled in size.
To welcome all the newcomers, we've prepared a brief summary that highlights the key elements of our project.
Find more details below 🧵
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Announcing our partnership with
@TalusNetwork
. Talus is building the Next-gen blockchain network for AI.
The alliance with Talus empowers Seraphnet to build a foundational layer leveraging Talus' high-performance blockchain and secure AI framework.
📂 Find out more below
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We're happy to announce that we've just implemented chat-based prompting to our techstack, allowing for natural, adaptive, and context-aware AI conversations.
Link to article:
Find out key highlights the 🧵
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We have been invited by
@zero1_labs
to participate in
@OasisProtocol
's AMA happening tomorrow.
Topic: current position of AI and the crypto industry.
If you are around that part of the metaverse, come join us.
🔵Spaces Announcement
With our new partners
@zero1_labs
, we’ll be deep diving into the current position of AI and the crypto industry
Including a guest appearance from
@oceanprotocol
and others!
Set your reminders!👇
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Announcing our new partner project
@ChasmNetwork
.
Together, we're revolutionising AI apps development with a focus on privacy and ideological neutrality.
Learn more below 🧵
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Happy to announce our redesigned new website at 🎉
What can you find there?
• Explore our AI research through the white paper
• Learn about our R&D efforts
• Get access to early releases
• Stay up to date with the changelog
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With the conceptual foundation and some initial prototyping finished, we are now beginning the work on the Seraphnet's first release, set to premiere in May.
What can you expect?
- Playground V1
- Clearpill V1
Find out what it means 🧵
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Sneak Peek: v1 UI Alpha Release
• RESTful API integration for URL processing
• NLP-powered content extraction algorithm
• Async data retrieval with <10ms latency
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Proud to announce our latest technical achievement on the infrastructural level.
We're integrating
@replicate
and COG into the LLMOps part of our tech stack, increasing our capabilities.
Link:
Find out what it means 🧵
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Our latest technical breakthrough in building a article database for Clearpill and BSA.
We have implemented HuggingFace, Supabase, and Kedro integration into our fine-tuning pipeline for CNN models.
For detailed information, refer to the following link:
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We’re excited to announce the implementation of a new tool designed to improve how we evaluate and enhance GenAI-generated articles.
This new mechanism focuses on precise comparisons and quality assurance.
For detailed information, refer to the following link:
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Seraphnet is committed to a future to support builders in the AI space.
Builders can easily and securely build LLM powered applications.
Integrate on and off chain data.
Unlock commercial and OS LLMs at scale.
Power unbiased inference.
Seraphnet provides a new primitive
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As we're wrapping up our first GenAI app proof-of-concept called Clearpill, we're also putting the finishing touches on a second PoC called Blockchain Sentiment Assistant, or BSA for short.
Let's talk about what this entails 🧵
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We recently had a discussion about expanding the current functionality scope of our GenAI apps network for the blockchain ecosystem.
One of the most important elements we are working on revolves around the topic of Predictive AI.
Let's explore 🧵
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Exactly the reason why we need data processing and AI generation to be decentralised, unbiased and encrypted with FHE, to the greatest extent possible.
At Seraphnet we strive to provide just that, offering a more sovereign alternative.
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Curious about what Seraphnet can do for you?
Whether you're a developer, researcher, or just exploring AI, Seraphnet offers powerful tools to help you leverage the best of Generative AI (GenAI).
Here’s how 👇
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Grayscale's new Decentralized Al Fund offers accredited investors exposure to blockchain and Al protocols.
At Seraphnet, this aligns with our mission to leverage decentralized technologies for innovative Al solutions.
We’re pleased to announce the launch of our newest private placement investment product, Grayscale Decentralized AI Fund. Available to eligible accredited investors.
$NEAR $RNDR $FIL $LPT $TAO
See important disclosures or speak directly to a team member:
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We're excited that our collaborator Kacper Szmigiel () is taking part in
@pprai2024
.
Kacper is working on his PhD at the University of Lodz, and we're happy to support his research.
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We're excited to be moving forward to with updated version of LLM-ops and SDK allows open-source GenAI builders to create their own GenAI apps with ease, increasing the specialization and strengthening the network.
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Make sure to join our community to stay up to date with the newest information:
• Discord:
• Blog:
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We propose a decentralized, ideologically-transparent system, designed to unlock the full potential of commercial and open-source LLMs.
Seraphnet’s AI infrastructure does not stop at the surface-level but allows you to get to the essence of your task.
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Stay tuned for our next update, where we'll focus on how we handle Data/ML/LLM operations at Seraphnet.
Make sure to join our Discord too:
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The future of AI is undoubtedly agentic. Autonomous systems that can plan, reason, and act independently will reshape our world.
Our mission: ensure they're built on decentralized infrastructure, respect privacy, and are ideologically unbiased.
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At Seraphnet, we’ve built a powerful Kedro-based pipeline to keep our GenAI models sharp and scalable.
Here’s how Seraphnet handle the large-scale data processing required for real-time content generation👇
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We have enhanced the Swarm Pods section, offering a more detailed look at these specialized modules managed by the Swarm Manager. Learn how they handle tasks within the AI ecosystem, enabling scalable and efficient operations.
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Our latest technical update:
We've incorporated Fireworks, a LLM platform, into our content management system to improve article processing capabilities.
For detailed information, refer to the following link:
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Seraphnet is changing up the world of generative AI with a community-focused, transparent approach.
It’s all about harnessing large language models (LLMs) to fuel powerful AI apps in a flexible, open ecosystem.
Here’s what makes it work 👇
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Our latest technical breakthrough in data management and feature engineering.
We have implemented Kedro Boot and FeatureForm integration into our data pipeline.
For detailed information, refer to the following link:
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If you've interacted with corporate chat apps connected to commercial LLMs, you might've noticed a certain tendency in their responses.
This is not a coincidence but a part of the design, and it has been analyzed by multiple researchers. 🧵
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As we gear up for opening our of Discord tomorrow, let's recap what you can achieve with Seraphnet and how it will become the base execution layer for ideologically-transparent GenAI apps🧵
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There are some voices that say the AI trend has reached its peak.
And then there is
@leopoldasch
who says that in reality, the AGI race has just started.
Some key poitns below 🧵
Virtually nobody is pricing in what's coming in AI.
I wrote an essay series on the AGI strategic picture: from the trendlines in deep learning and counting the OOMs, to the international situation and The Project.
SITUATIONAL AWARENESS: The Decade Ahead
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It is official, our Discord is now open for conversations.
Join us as we redefine the ideological landscape of AI and build
a new generation of GenAI apps:
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Commercial LLMs' performance is still unrivaled, BUT open-source LLMs (something we like to call 'alt-intelligence') are on the rise.
We wonder how adding specialized Agents on top of open-source models would change the final score?
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Technical Update
#6
: Qdrant as a Vector Database
Link:
Recently, we integrated
@qdrant_engine
, a lightweight yet powerful vector database, into our workflows. Here's why it's a game-changer for us.
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Why Seraphnet?
We live in times of a fragmented society.
The operational paradigms of contemporary LLMs contribute to this issue.
Rather than providing holistic answers, users receive shards of information, effectively being prohibited from obtaining a critical perspective.
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Swarm Pods a.k.a. Clearpills are specialized, ideologically-transparent GenAI apps.
Together with our intent-sensitive Swarm Manager they form a modular network of efficient, customizable GenAI apps trained on LLMOps utilizing multiple LLMs, fine-tuned by RAG technology.
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Privacy and independence in AI are paramount.
@Tether_to
’s push for locally executable AI models could be a game-changer, ensuring our data remains in our hands.
Decentralized solutions are the future of secure AI.
OpenAI seems to have been hacked a while ago. Scary.
Locally executable AI models are the only way to protect people privacy and ensure resilience / independence.
New generation smartphones and laptops are more than powerful enough to fine tune general LLMs with user's own
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The future of AI is exciting, but it also comes with challenges.
One of the most important steps we can take is decentralizing AI—especially when it comes to generative AI (GenAI) and large language models (LLMs).
Here’s why it matters👇
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In the world of AI, unbiased inference is key to creating reliable and trustworthy systems.
But why does it matter so much, especially when working with Large Language Models (LLMs)?
Let’s break it down 👇
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This allows data sources to be flexible and extensible, allowing for the integration of various new information sources as the ecosystem evolves.
Plurality of sources is key to make sure the infrastructure remains ideologically neutral.
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To cater to non-technical users, Seraphnet's Clearpill GenAI suite boasts an exceptionally user-friendly interface within its architecture.
It incorporates a front-end UI seamlessly integrated with the Clearpill API for backend data management.
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Learn something new about GenAI with today's excellent Sunday read by Google's AI Director
@AliArsanjani
discussing "major architectural building blocks and blueprint for building end-to-end GenAI-based applications that are ready for production".
Link:
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Furthermore, the LLMOps part of the infrastructure called Forge allows users to generate their own Swarm Pods with ease - either using Seraphnet’s Premium services or completely on their own.
The diagram below presents an overview of our infrastructure.
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We're excited to share a significant milestone in our AI journey: the integration of Reinforcement Learning from Human Feedback (RLHF).
This step moves us closer to powerful and ethically aligned AI systems.
Find out more in our blog:
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Very well put! Exciting times to be alive and operating within the AI sector.
The greatest and the worst thing about AI Agents is the same 🙃
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Blockchain-based research in the field of LLM improvement has been significant in recent years and we strive to be at the AI x Web3 forefront of innovation.
Sign up for early access now if you want to be there too:
Playground V1 comes out in May.
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Seraphnet utilizes the Dremio Data Lakehouse architecture, built on top of Apache Iceberg, to distribute the data.
The Data Lakehouse is created with the Kedro data engineering framework, a toolbox for production-ready data science.
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A new ambitious player has entered the market of AGI/SSI. Their ideals seem to be aligned with ours.
Def something for the entire industry to keep an eye on, to learn and get inspired.
Superintelligence is within reach.
Building safe superintelligence (SSI) is the most important technical problem of our time.
We've started the world’s first straight-shot SSI lab, with one goal and one product: a safe superintelligence.
It’s called Safe Superintelligence
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Kind reminder about today's AMA.
Please join us if you are around!
Have you set your reminder🤔
Join Oasis’
@markowifk
today at 4pm CET to be in on the discussion about crypto x AI
Together with
@zero1_labs
,
@mihai_mas
from
@oceanprotocol
,
@Seraphnet
and
@jarrodbarnes
from
@NEARProtocol
!
Don’t forget👇
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We wholeheartedly agree with
@ErikVoorhees
and
@TeanaTaylor
!
Once AI is safe and uncensored, the output data should be also as ideologically clean as possible.
Erik Voorhees' New Venture: Why AI Desperately Needs Privacy and Uncensorability
@ErikVoorhees
, a crypto OG, has launched Venice, a new project at the intersection of AI and crypto. He and Venice COO
@TeanaTaylor
came on Unchained to discuss everything about the project and:
🕵️
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Excited to welcome Hubert Pieniążek as our newest Github Collaborator.
Find out more about in our mini-thread 🧵
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Large Language Models (LLMs) now perform at adult levels on complex Theory of Mind (ToM) tasks, significantly advancing Seraphnet's Clearpill GenAI apps.
A recent Google paper shows LLMs like GPT-4 achieving and even surpassing human performance in ToM tasks.
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Seraphnet is building a powerful infrastructure for decentralized AI, designed to change how we interact with Generative AI (GenAI) and Natural Language processing (NLP) queries.
Let’s dive into how it works👇
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Seraphnet operates on a Pay-As-You-Go business model, providing flexibility and scalability to users based on their needs.
This approach allows users to pay only for the resources they consume, making the interaction with the infrastructure as cost-effective as possible.
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In Seraphnet’s V1 for RAG we use Cohere, an efficient and secure toolkit that allows LLMs to accurately answer questions and solve tasks using enterprise data as the source of truth.
Additionally, to further improve our RAG, we have integrated it with semantic search.
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Seraphnet aims to bridge the world of Web3 and Web2 AI with multiple partnerships, with established AI projects such as ZenML, Cohere, Kedro and many more to come.
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Milestones at the horizon include:
• May - Playground V1 release
• June - RAG release, release of dClearpill
• August - Forge LLMOps release, $DLLM Token Integration
• September - os devs onboarding, grants program
Find our more details:
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Seraphnet's Data Ecosystem revolves around three main components: Data Pipeline, Data Lakehouse, and Databases.
The Data Pipeline automates the flow of data from one point to another, facilitating extraction, transformation, and loading processes.
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Our latest technical update:
We've fine-tuned Large Language Models (LLMs) focusing on enhancing data management and delivering precise insights.
For detailed information, refer to the following link:
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Want to read more? Find an executive summary of Seraphnet in the our pitch deck
Be sure to read our whitepaper and visit gitbook & website:
• Whitepaper:
• Gitbook:
• Website:
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Excited to welcome Maksymilian Krysa as our newest GitHub collaborator at Seraphnet!
Find out more about Maks in our mini-thread 🧵
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Planned for May:
- Release of Clearpill's PoC (Currently accessible only to a selected group of Early Adopters)
- Release of Playground PoC (Same conditions)
- Reveal of a new GenAI PoC
- Reveal of the Research-to-Airdrop program
- Explainer Video
- New Partnerships
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Beyond traditional data sources, it is our intention to ensure that the Web3-compatible versions of Clearpills, called dClearpills, are capable of accessing onchain data sources.
dClearpills will be able to directly interact with smart contracts.
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Seraphnet is developed by an experienced team, worked on AI, fintech, medtech:
• CTO with 12 years of experience, AI Architect and ML/Data/Prompt Engineer
• CPO with 8 years of experience, multiple R&D projects under belt
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V1 of Seraphnet implements FastAPI: fast web framework for building APIs with Python 3.10 based on standard Python type hints.
FastAPI not only enables seamless communication but also provides a dual-use capability, catering to both non-technical users and developers.
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Our Data Lakehouse implementation stores data as parquet files organized into Iceberg tables, cataloged using the Nessie metadata service, allowing us to query data directly from the lakehouse without the need for a separate data warehouse.
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Make sure to join our community to stay up to date with the newest information:
• Discord:
• Github:
• Blog:
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kedro-sandbox - open source project showcasing Kedro capabilities.
main-pipeline - executive infrastructure for Digital Ocean.
Upcoming repos: Clearpill API.
Slowly gearing up for the release of Playground V1 and Clearpill V1. Details incoming soon!
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The key takeaway is: we are moving beyond fixed prompts.
The early version of our AI system relied on static, unchanging queries, limiting the potential for dynamic, multi-turn interactions.
We're changing that by embracing the power of chat prompting with DSPy.
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Our Data Lakehouse, built on
@dremio
combines the expansive storage capabilities of a data lake with the structured querying and management features of a data warehouse, enabling seamless data management and analysis at scale.
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If you want to be up to date with what's happening in the project, your best place is our Discord, which we have just opened for communication.
Join here:
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Our latest developments in AI-driven content creation.
We're leveraging advanced tech to generate high-quality, accurate, and tailored content at scale.
Here's a breakdown of our innovative approach👇
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