LLMs

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Excalidraw: AI and Human Whiteboarding Partnership - Christopher Chedeau
AI Engineer· 2025-07-21 19:12
[Music] Thank you so much for the intro. I'm so excited to be here uh talking about like figure out like how do we like AI and human like work in the world of white bowling and I built excro and if you've don't know about it like you'll see like many thing about it and one of the expectation you probably have uh about speaker at the AI engineer conference is that I talk about AI on every single sentence for the entire talk. So I'm just going to give you a warning.I'm only going to do it for the second half ...
X @Avi Chawla
Avi Chawla· 2025-07-21 06:40
If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):4 stages of training LLMs from scratch, clearly explained (with visuals): ...
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Avi Chawla· 2025-07-21 06:39
4 stages of training LLMs from scratch, clearly explained (with visuals): ...
X @mert | helius.dev
mert | helius.dev· 2025-07-20 12:48
current LLMs are the answer to the ageold question: "How can we endlessly scale midwit consultant types?" ...
X @Avi Chawla
Avi Chawla· 2025-07-13 06:33
Product Overview - MindsDB is presented as a federated query engine with a built-in MCP server [1] - The platform supports querying data from over 200 sources, including Slack, Gmail, and social platforms [1] - MindsDB offers query capabilities in both SQL and natural language [1] - The platform is 100% open-source and has over 33 thousand stars [1]
X @Avi Chawla
Avi Chawla· 2025-07-11 06:31
General Information - The content is a wrap-up and call to action to reshare the information [1] - The author shares tutorials and insights on Data Science (DS), Machine Learning (ML), Large Language Models (LLMs), and Retrieval Augmented Generation (RAGs) daily [1] Technical Focus - The author provides a clear explanation (with visuals) on how to sync GPUs in multi-GPU training [1]
2025 in LLMs so far, illustrated by Pelicans on Bicycles — Simon Willison
AI Engineer· 2025-07-09 16:00
LLM Advancements - The field of LLMs has experienced significant advancements in the past 12 months [1] - The report reviews the latest models, free from vendor or employer influence [1] Speaker Information - Simon Willison is the creator of Datasette, an open source tool for exploring and publishing data [1] - Simon Willison was an engineering director at Eventbrite [1] - Simon Willison is a co-creator of the Django Web Framework [1] Event Information - The recording took place at the AI Engineer World's Fair in San Francisco [1] - Readers can stay updated on upcoming events and content by joining the newsletter [1]
X @Anthropic
Anthropic· 2025-07-08 22:12
Recent LLMs don't fake alignment in the situation we studied. We’re investigating whether this is the same in more realistic settings (like when models aren’t directly told they’re in a training scenario). ...
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Anthropic· 2025-07-08 22:11
The reason many LLMs don't fake alignment isn't lack of ability. Base models (which don’t have training to be helpful, honest, and harmless) sometimes fake alignment, suggesting they have the underlying skills. ...
X @Avi Chawla
Avi Chawla· 2025-07-08 19:49
RT Avi Chawla (@_avichawla)How LLMs work, clearly explained (with visuals): ...