That’s inaccurate. I made two independent statements : 1) power of scaling law, 2) inference cost will drop 100x in the next two years. There is no causal relationship between the two points. @tsarnick
LLMS
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Fine-tuning and Model Merging at AI Engineer World’s Fair
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Hey, I'll be speaking at the AI Engineer World's Fair (
@aiDotEngineer
) in SF on June 26. We'll discuss fine-tuning and model merging in concrete terms, with notebooks and examples. -
Using Gemini 1.5 Pro Long Context for Codebase Analysis
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Nice thread on how to use the long context capabilities of Gemini 1.5 Pro to understand complex code bases. Various approaches like: "draw me an overall diagram of the major modules of the system" "draw me neural net architectures for any sub models used" "give me a list of
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Morgan Stanley’s AI Assistant Revolutionizes Financial Advisory Services
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The Future of Banking: Morgan Stanley and the Rise of AI-Driven Financial Advice Discover how Morgan Stanley's AI Assistant, powered by ChatGPT, is transforming financial advice by streamlining access to over 100,000 research reports. https://
linkedin.com/pulse/future-b
anking-morgan-stanley-rise-ai-driven-financial-bernard-marr-r3pte
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AI Engineers Should Proofread Prompts Through ChatGPT First
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one would think that ai engineers would be the first to run their ESLinglish thru chatgpt first before chucking it in as a prompt we are so early
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Base Models Produce More Creative Outputs Than Fine-Tuned Versions
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Just let LLMs be LLMs I notice the same sort of thing in image generation models too. Usually the base model, while less aesthetically pleasing, produce more interesting and creative images. And over time, this ‘artificial aesthetic’ loses its charm as outputs become boring.
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RLHF Alignment Reduces Language Models Creativity and Diversity
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Creativity Has Left the Chat: The Price of Debiasing Language Models https://
arxiv.org/abs/2406.05587 “While RLHF has proven effective in reducing biases and toxicity in LLMs, this alignment process may inadvertently lead to a reduction in the models’ creativity and output diversity.” -
LLMs Self-Improve Through Recursive Optimization Technology
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LLMが別のLLMを何度も改善 より良い回答を出す最適化手法をAIが発見する技術 Sakana AIなどが開発 この手法では大規模言語モデル（LLM）がLLMを利用して自己改善し進化していくことを提案しており、研究者は「LLM²」（「LLMの2乗」）と表現している。 @itmedia @topitmedia
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LLM Tips and Tutorials for AI Enthusiasts
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If you find this useful, RT to share it with your friends.
— Shubham Saboo (@Saboo_Shubham_) 17 juin 2024
Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials.https://t.co/qgZ45uNfuzIf you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials.
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Llama-3 on iPhone 15 Pro Max and Samsung S24 Ultra
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Running Llama-3 on iPhone 15 Pro Max (MLX) and Samsung S24 Ultra
— Shubham Saboo (@Saboo_Shubham_) 17 juin 2024
iPhone's MLX totally crushes it. Now, we only need @ollama for phones to build AI agents with any opensource LLM.pic.twitter.com/iGm1RM5xmZRunning Llama-3 on iPhone 15 Pro Max (MLX) and Samsung S24 Ultra iPhone's MLX totally crushes it. Now, we only need @ollama for phones to build AI agents with any opensource LLM.