@historyinmemes Naval Ravikant: Once you pick the right thing to work on, and the right people to work with, then work as hard as you can.

Thank you @stephzhan for the chat and @sequoia for hosting, pleasure to come by!

With many 🧩 dropping recently, a more complete picture is emerging of LLMs not as a chatbot, but the kernel process of a new Operating System. E.g. today it orchestrates: - Input & Output across modalities (text, audio, vision) - Code interpreter, ability to write & run

Claude 2.1 with 200k context just got released by @AnthropicAI with 40% price decrease. Making it cheaper than @OpenAI GPT-4 turbo. 🤑 I updated the LLM token-based pricing sheet. 👉 https://t.co/KnJefD1xMn

Invest the time early on to discard good ideas in pursuit of a great one. Take -1 to 0 seriously so you can increase your chances of going 0 to 1. Read more on what I mean here ⬇️ https://t.co/Y22S08fI4E

Please help Kindra reach the fundraising goals for the 2023 TCS New York City Marathon Fundraising!

A tremendous job from the @Titans social media team. https://t.co/jhtQwZLL0S

Oops haven't tweeted too much recently; I'm mostly watching with interest the open source LLM ecosystem experiencing early signs of a cambrian explosion. Roughly speaking the story as of now: 1. Pretraining LLM base models remains very expensive. Think: supercomputer + months.

Senior AI Architect, Ari Kamlani is featured in Reworked discussing why responsible AI should be on the agenda of every enterprise. Read the article to learn more about the public expectations of AI and the ethics of responsible AI. https://t.co/640YyLMD4f

I heard about this Dashboard Design Patterns paper, and man, it's cool. One of the hardest parts of gathering requirements for anything is getting two people to imagine the same end outcome. I'm now realizing how often that's true for dashboards

If only I had access to this data 😜

Have you wondered about the magic behind generative AI art tools like DALL·E and Midjourney? Seeing the outputs is fun, and learning the algorithms can be even more rewarding. Today we look at 4 popular Machine Learning models — Autoencoder, Transformer, Diffusion Model, and GAN.

Beyond Limits Senior AI Solutions Architect and Data Scientist, Ari Kamlani had the opportunity to interview with Tyler Gallagher to discuss the future of artificial intelligence. Read the full interview in Authority Magazine below. https://t.co/Ru5DJFfdxU

AI Magazine features Beyond Limits’ Senior AI Solutions Architect & Data Scientist, Ari Kamlani, in a Q/A-style article with a special focus on Ari’s role and responsibilities. https://t.co/OnszKAHBy3

Some of my learnings from consulting different companies on their machine learning efforts:

Beyond Limits Senior AI Solutions Architect/Data Scientist Ari Kamlani is quoted by insideBIGDATA, discussing how hybrid AI can help human operators improve decision making and innovate at a faster pace than ever before. Read the full comment here: https://t.co/YAG5qWdi3v

@akamlani, Senior Data Scientist @beyondlimitsai, was present at #BigDataAITO 2021 to provide a POV on presenting a set of patterns to structure your AI projects and portfolio from the lens of sports analogies. Watch the talk here 📽️

Inspired by @__mharrison__ and the Styling chapter in Effective Pandas. Embed @matplotlib plots inside your @pandas_dev dataframe. #dataviz 😍

We're excited to share that Beyond Limits has acquired Altec, a leader in digitalization tools and workflow technologies that streamline digital operations in key industries. Read announcement here: https://t.co/J3dQDr07P1

I have decided to use some of these for team names for my class