Posts about large language models (2)
#121 Effective Retrieval: The Crucible of Meaningful Responses in Generative AI
January 5, 2024<< Previous Edition: Sparse is Beautiful Consider LLMs (Large Language Models) as actors who have attended film sc...
#120 The Sparse Universe Reflected in AI
January 4, 2024<< Previous Edition: Mixture of Experts In our extensive discussions about embeddings, we've emphasized their cruc...
#119 Mixture of Experts (MoE)Title Here...
January 3, 2024In the sphere of Large Language Models (LLMs), the 'mixture of experts' strategy draws inspiration from Adam Smith's con...
#118 AI's Greatest Risk: Upending Social Hierarchies
January 2, 2024<< Previous Edition: Flexing Open Weights As we embark on a new year, I'd like to delve into a concept that is as ...
#117 Flexing Open Weights
December 18, 2023<< Previous Edition: Navigating the Layout In Newsletter #105," we explored the intricacies of open-source in the ...
#116 Navigating the Layout: Large Language Models in the File System
December 8, 2023<< Previous Edition: Elo vs. MMLU scores In the realm of Large Language Models (LLMs), complexity intertwines with...
#115 An In-Depth Look at Elo and MMLU Scores for Leading Language Models
December 6, 2023<< Previous Edition: Rigid Rules to Fluid Future The landscape of generative AI is continually shifting, bringing ...
#112 Navigating the Landscape of Generative AI with RAG
November 12, 2023<< Previous Edition: Is the cost of fine-tuning worth it for Enterprises? As our regular readers know, we've been ...
#111 Fine-Tuning in The Sky & AI: A Costly Affair or a Necessity?
November 12, 2023There's a buzz in the tech community, allegedly about a possible $3 million cost for enterprises to fine-tune large lang...