We're excited to announce an exclusive session on Retrieval-Augmented Generation (RAG) with Domino's John Alexander! Join us Feb. 13 to unlock the power of RAG for your projects. Limited spots available! https://
domino.buzz/3NYpRqZ #DataScience #GenerativeAI #TechTalks
LLMS
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Exclusive RAG Session with Domino’s John Alexander Announced
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Parrots vs GPT-4: Beyond Stochastic Parrots Debate
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Hm, has anyone done a comparison between the abilities of parrots and GPT-4? This kind of argument is pronounced in the stochastic parrots paper, too: more motivated by politics than philosophy or empirical analysis.
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Semantic LLM Editing for Compact Knowledge Representation
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I expect that once we can edit LLMs semantically, we can produce compact core LLMs that may not be good at style imitation, but that can quickly and reliably extract knowledge from text and store and exchange it in a kind of universally interpretable mental representation code.
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Neural Network Structure and Semantic Interpretability in LLMs
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The neural network that encodes the LLM has no canonical form, its structure depends on the architecture, the training data, and the order in which it is processed. It is still very difficult to extract a semantically interpretable representation from an LLM.
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SAS Explores LLMs and Forecasting Software Fusion
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New podcast . Hear SAS R&D's Michele Trovero and Spiros Potamitis explore the fusion and future of Language Model-based AI (LLMs) with forecasting software. http://
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Self-rewarding Language Model Learns and Improves Itself
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> be me self-rewarding LM
> write my own prompts
> write my own responses
> give myself feedback
> be me smarter self-rewarding LM -
Fine-tuning Chat Models with Cohere Python SDK
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Learn about fine-tuning a model for Chat to improve its performance at a specific task. This article includes practical code examples using Cohere's Python SDK. Learn more about it now.
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Perplexity Powers Rabbit R1 With Real-Time AI Answers
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We're thrilled to announce our partnership with Rabbit: Together, we are introducing real-time, precise answers to Rabbit R1, seamlessly powered by our cutting-edge PPLX online LLM API, free from any knowledge cutoff. Plus, for the first 100,000 Rabbit R1 purchases, we're
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Small Language Model for Resource-Constrained Devices
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Probably some SLM that can run on small devices.
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Excitement for Llama3 with 300k H100s investment announcement
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300k H100s totals in 10b$ Holy moly. Now I am more hyped for Llama3 than ever before https://t.co/FKuhpnmGir
— Chubby♨️ (@kimmonismus) 18 janvier 2024300k H100s totals in 10b$ Holy moly. Now I am more hyped for Llama3 than ever before