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AI Ecosystem Intelligence Explorer
21 of 85 articles
A Practical Guide to Implementing DeepSearch/DeepResearch
QPS out, depth in. DeepSearch is the new norm. Find answers through read-search-reason loops. Learn what it is and how to build it.
GitHub - smartaces/Anthropic_Claude_Sonnet_3_7_extended_thinking_colab_quickstart_notebook
Contribute to smartaces/Anthropic_Claude_Sonnet_3_7_extended_thinking_colab_quickstart_notebook development by creating an account on GitHub.
Aman’s AI Journal • Natural Language Processing • Attention
Aman’s AI Journal | Course notes and learning material for Artificial Intelligence and Deep Learning Stanford classes.
Aman’s AI Journal • Primers • Agents
Aman’s AI Journal | Course notes and learning material for Artificial Intelligence and Deep Learning Stanford classes.
The Ultra-Scale Playbook - a Hugging Face Space by nanotron
The ultimate guide to training LLM on large GPU Clusters
AI Mistakes Are Very Different From Human Mistakes
We need new security systems designed to deal with their weirdness
GitHub - saurabhaloneai/Llama-3-From-Scratch-In-Pure-Jax: This repository contain the simple llama3 implementation in pure jax.
This repository contain the simple llama3 implementation in pure jax. - GitHub - saurabhaloneai/Llama-3-From-Scratch-In-Pure-Jax: This repository contain the simple llama3 implementation in pure…
LLaMA explained: KV-Cache, Rotary Positional Embedding, RMS Norm, Grouped Query Attention, SwiGLU
Full explanation of the LLaMA 1 and LLaMA 2 model from Meta, including Rotary Positional Embeddings, RMS Normalization, Multi-Query Attention, KV-Cache, Grou…
On word embeddings - Part 3: The secret ingredients of word2vec
Word2vec is a pervasive tool for learning word embeddings. Its success, however, is mostly due to particular architecture choices. Transferring these choices to traditional distributional methods makes them competitive with popular word embedding methods.