Aineko
@aineko_dev
Followers
24
Following
17
Media
0
Statuses
17
A better way to build, deploy, and scale event-driven AI applications.
San Francisco, USA
Joined September 2023
⚙️ Optimizing LLM Performance: Tactics for Evaluation & Enhancement. In our latest post, we detail key strategies for measuring & improving LLM apps. We explore prompt engineering, RAG, & fine-tuning, assessing their effectiveness, impact, & limitations.
0
5
11
🚀 Beyond LLMs: Demystifying AI Agents. Dive into our blog series' 1st post on building intelligent production-grade agents capable of transforming industries!. From bots to sophisticated systems, discover the key components, development insights, & more.
6
5
8
Check this out to learn more about building event-driven AI applications with Aineko.
Earlier this week I sat down with the folks at Anant to discuss building event-driven AI applications using @aineko_dev. Event-driven architectures are an unlock for AI apps. Not only does it make your apps more reliable and scalable, it also makes them easier to maintain.
0
2
5
This is cool! If you're thinking of fine-tuning with this dataset let us know.
Can LLMs help with real-world GitHub issues?. 📢 SWE-bench Dataset from @princeton-nlp is on @huggingface Hub.🎯 Focus: Automated GitHub issue resolution.📚 Content: 2,294 Issue-PR pairs from 12 Python repos.🔎 Evaluation: Unit test verification using post-PR behavior
0
0
2
RT @the_ricardor: Frameworks evolve, but our commitment to enhancing the developer journey Is here to stay. We keep it simple, so you can f….
0
1
0
RT @the_ricardor: There are a bunch of great tools out there to play around with AI. But there’s still a lot of work to make production rea….
0
1
0
RT @the_ricardor: In the age of information, latency is the new downtime. Prioritizing performance at @aineko_dev, one data update at a tim….
0
1
0
We’re looking for a few more teams to join our closed beta. Get started with Aineko Open Source with zero fees & zero commitment.
0
0
0
1) Real-time AI inference, generative AI workflows or live QA for AI apps.2) Interactive, multi-user, or real-time user experiences for your product.3) Getting to market fast without the headaches of managing infrastructure.
1
0
0
Aineko makes it possible to rapidly prototype, automate deployments, and unify observability for real-time user experiences. If you’re thinking about any of the following for your product, we’d love to chat:.
1
0
0
Check out this case study on building a code generation LLM feature with real-time QA using Aineko. 1 dev built it in less a week and we want to help you do the same. Book a demo:
We've heard developers want to leverage LLMs, but are having a hard time getting to production. In prod you have to account for biz logic, compliance, and QA. Here's an example demonstrating an LLM feature with real-time QA built on @aineko_dev
1
1
6
RT @the_ricardor: Say goodbye to the days of intricate deployment setups for data apps. Push. Deploy. Done. That’s the @aineko_dev way.
0
1
0
RT @the_ricardor: The best developer experiences are invisible. They just work, seamlessly and effortlessly. That's our aim with @aineko_dev.
0
1
0
RT @the_ricardor: @aineko_dev is more than just a framework; it's a commitment to helping developers build and deploy data apps with confid….
0
1
0
RT @the_ricardor: Every millisecond counts. Optimizing for performance isn't just about speed, it's about delivering exceptional user exper….
0
1
0
RT @the_ricardor: The last couple of months, the @aineko_dev team and I have been heads down building. This post details why I think what w….
0
3
0