Spent the last few days building a megaprompt for a client. This one takes in a 1-hour meeting transcript and outputs a report that becomes the basis for a paid consulting deliverable. Ran it in 4 LLMS:
– ChatGPT (GPT-4 Turbo)
– GPT-4 Turbo in OpenAI Playground
– Claude-2 via
LLMS
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Building Megaprompt for Meeting Transcripts Analysis Across LLMs
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Gemini-1.5 Pro Represents Most Significant LLM Advancement
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— Oriol Vinyals (@OriolVinyalsML) 20 février 2024
Ok, I've been waiting a while before saying it confidently, but I now understand that the Gemini-1.5 Pro had its deserved spotlight stolen last week by Sora. After experimenting with it for a while, I believe it represents the most significant advancement in LLM capabilities
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Gemini 1.5’s 10M Context Window Enables Personalization Without Fine-tuning
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With Gemini 1.5's nearly perfect 10 million context you can:
– give entire code bases, 100+ papers, documents
– give it all the information about me (emails, writing examples etc) and have it act entirely like me WITH 0 fine tuning Your entire life can be in its context window -
Gemini 1.5 Context Window RAG Production Impact Analysis
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Gemini 1.5 is a much bigger deal than Sora. 1. The 10M context window fundamentally changes how we think about RAG. Not just large, but also effective. 2. Pro-1.5 Beats Ultra-1.0. There’s a fundamental modeling improvement. 3. It’s in production, you can use it today. I too
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Gemini 1.5 Pro: In-Context Learning Outperforms Fine-Tuning
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I've been testing Gemini 1.5 Pro's reasoning capabilities this morning. It's near-GPT-4-level with regular prompts. BUT Gemini's performance improves as I add dozens of examples. There doesn't seem to be an upper limit. Many-example prompting is the new fine-tuning.
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Gemini 1.5 Outperforms GPT-4-Turbo on Long Context Tasks
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Gemini 1.5 destroyed GPT-4-Turbo. I guess long contexts overwhelm it, while Gemini 1.5 doesn't care at all. Complete breakdown: https://
reddit.com/r/singularity/
comments/1atjz9v/ive_put_a_complex_codebase_into_a_single/
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Gemini 1.5 Shows Impressive Long Context Performance Leap
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Ok, gemini 1.5 is really really good. seriously the most impressive jump i've seen in models in a while when it comes to long context just tried with a paper and asked it "what does Figure 5 show?" it contextualized the whole thing and answered based on that tiny section +
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Gemini 1.5 Passes Complex RPG Character Generation Test
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A hard test of Gemini 1.5 that every other AI has failed. I gave it a truly over-the-top RPG (the 352 page rulebook for 60 Years in Space) and asked it to role up a character The instructions are scattered across many pages, and are very complicated, but Gemini seemed to get it.
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Gemini 1.5 Pro Self-Implements Support in Open Source Codebase
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I showed Gemini 1.5 Pro the ENTIRE Self-Operating Computer codebase, and an example Gemini 1.5 API call. From there, it was able to perfectly explain how the codebase works… and then it implemented itself as a new supported model for the repo! Not perfect, but very close.
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Gemini 1.5 Pro Launch Highlights Community AI Interactions
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Gemini 1.5 Pro launched last week and already we're seeing the community produce some amazing interactions with long context. Below are some highlights and cool posts from folks who have gotten early access. A few thoughts from discussions / reactions from the community so