Strongly agree. Ok, human-readable reasoning has some utility for (a) learning and (b) evaluating trust in the tool. But 2nd-gen reasoning models will likely optimize reasoning traces in latent space, and then possibly rendering a human-readable form afterward for (a) and (b).
LLMS
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Perplexity brings AI-powered search and Q&A
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4. Recherche AI
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 10 février 2025
Au revoir Google Search, c'est maintenant l'ère de la recherche AI,
profitez de la combinaison parfaite de la recherche d'informations en temps réel et des questions-réponses intelligentes apportées par Perplexity. pic.twitter.com/F1fmfYNKuI4. Recherche AI Au revoir Google Search, c'est maintenant l'ère de la recherche AI, profitez de la combinaison parfaite de la recherche d'informations en temps réel et des questions-réponses intelligentes apportées par Perplexity.
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Demo of an All-in-One Tool Accessing Multiple AI Models
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Ne vous demandez plus si vous devez utiliser ChatGPT ou DeepSeek. J'ai découvert un excellent outil d'IA tout-en-un qui donne accès à ChatGPT, DeepSeek-R1, Gemini, Midjourney, Perplexity, Runway, et bien plus encore. Laissez-moi vous montrer comment l'utiliser
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DeepSeek R1 deployment across major cloud providers
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Since DeepSeek R1's release, very quickly AWS, Azure, Fireworks AI, Groq, Hugging Face, SambaNova and Together AI all started to host R1 variants. What's the "best" model changes frequently, and so developers often want to try out new ones. The aisuite package, which helps
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The rising interest in building open AI agents
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The interest in building open agents is just wild!
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Evaluating AI Agents: Key Questions and Expert Track
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One of the biggest questions about agents is: "How do we evaluate them?" We will have a whole track on Evals at INTERRUPT I could't imagine a better speaker for that track than @sh_reya https://
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Master LLM Development: Stay Updated with Our Comprehensive Course
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Struggling to Keep Up with AI? We’ve Got You Covered! We added a final bonus lesson dedicated to staying up-to-date in our course “From Beginner to Advanced LLM Developer”. This list is an update of our very own resource list (the one we use at Towards AI) to help you filter
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Upcoming AI Conferences: Agentic Applications and Expert Architecture
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(5/5) Join us at our upcoming events: @LEAPandInnovate Conference: Feb 9-12, Riyadh, Saudi Arabia — Discover how faster inference is powering Agentic applications
AI Dev World: Feb 13, Santa Clara, CA — Dive into our RDU & Composition of Experts Architecture! -
SambaNova Joins Hugging Face Inference API as Third-Party Provider
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(4/5) SambaNova & Hugging Face:
Hugging Face just added 3rd-party providers to their Inference API, making it easier to access SambaNova’s lightning-fast speeds right within Hugging Face applications. Check out our blog for more: -
Llama 3.3 Now Supports 16K Context Length for RAG
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(2/5) Llama 3.3 Update
Llama 3.3 now supports 16K context length! Devs, this upgrade is a game-changer for your RAG and Agentic workflows. If you’re already using Llama 3.1, don’t miss this improved version!