Edge 375: Meta's System 2 Attention is a Very Unique LLM Reasoning Method
Was this email forwarded to you? Sign up here Edge 375: Meta's System 2 Attention is a Very Unique LLM Reasoning MethodThe method has been inspired by cognitive psychology and has immediate impact in LLM reasoning.
In this Issue:
💡 ML Concept of the Day: Understanding Meta’s System 2 AttentionLLMs excel in reasoning and knowledge accumulation through their extensive pre-training. They are designed to focus intensely on the current context for predicting the next word. For instance, if a particular entity appears in a text, the model anticipates its recurrence. Transformer-based LLMs, with their soft-attention mechanism, are adept at identifying similar words and concepts within their context. While this enhances their prediction accuracy, it also leaves them vulnerable to misleading correlations in the context they analyze. Let’s look at the following example which clearly shows how the output of LLMs is affected by irrelevant correlations in context.
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Text-to-Video Games and 1-Bit Models: Two Monumental Generative AI Research Milestones in One Week
Sunday, March 3, 2024
Two papers that open new possibilities for generative AI. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
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Edge 374: Some Technical Details we Learned About OpenAI's Sora
Thursday, February 29, 2024
The text-to-video model that astonished the world includes several clever engineering optimizations. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Edge 373: Computationally Efficient LLM Reasoning with ReWOO
Tuesday, February 27, 2024
In this Issue: An overview of ReWOO as an LLM reasoning method. A review of ReWOO's research paper. An introduction to LLMFlows, a framework for building LLM applications. 💡 ML Concept of the Day:
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Sunday, February 25, 2024
Gemma is based on the core architecture powering Gemini. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
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