Looks like it will arrive very soon 👀
— 🚨 AI News | TestingCatalog (@testingcatalog) 16 juillet 2025
"mistral-deepresearch-2507" https://t.co/ABHm3uuW74 pic.twitter.com/IuG5xb2GUd
Looks like it will arrive very soon "mistral-deepresearch-2507"
LLMS
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Nouveau modèle Mistral DeepResearch à venir
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Grok 4 Tops SnorkelFinance Benchmark with 51.9% Score
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You asked for finance + reasoning—so we built it. 📉
— Snorkel AI (@SnorkelAI) 16 juillet 2025
Grok 4 ranks top 5 on SnorkelFinance—Top score? Just 51.9%.
Full results coming soon. Built with Snorkel’s Expert DaaS.
🧪 Try it: https://t.co/UatfcKbWZ2
🔗 Benchmarks in comments. pic.twitter.com/gjyiUnydM1You asked for finance + reasoning—so we built it. Grok 4 ranks top 5 on SnorkelFinance—Top score? Just 51.9%. Full results coming soon. Built with Snorkel’s Expert DaaS. Try it: https://
lnkd.in/gn4yHeVG Benchmarks in comments. -
Anthropic’s API Focus Over Apps Strategy
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I believe Anthropic's main focus is their API and not their apps. Most of Anthropic's users seem to use it directly from tools like Cursor, Windsurf, etc.
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LLM RecSys Track Underrated: Industry Insights and Speaker Collaboration
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the LLM RecSys track is underrated because this stuff is usually presented at private industry confs + LLMs are comparatively new in recsys/there are many patterns to and massive kudos to @eugeneyan for working with all speakers to get their talks to share on the @aidotengineer
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vLLM Integration Now Available for Development
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Thanks! We're currently working on vLLM integration. Go wild with it!
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Simple GPT-3 Text Endpoint Architecture
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Indeed! It was a beautifully simple “text in, text out” endpoint on top of GPT-3 at the time: https://t.co/4P7wW6llCk
— Romain Huet (@romainhuet) 16 juillet 2025Indeed! It was a beautifully simple “text in, text out” endpoint on top of GPT-3 at the time:
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AI Agents Meetup: Context Engineering Strategies with LangGraph
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Join us for an AI Agents Meetup on context engineering for agents! LangChain's @RLanceMartin will break down common strategies for context engineering, review how some popular agents implement these approaches, and explain how LangGraph is designed to support them. RSVP:
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Combine Claude with Cline for optimal frontend and backend development
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Use both in combination! Plug CC into @cline and use it through the Cline interface, it's a much better experience. For frontend, use Cline w/ Sonnet or Opus w/o CC (because pure Cline has a browser integration that helps build better frontends), for backend, use them together!
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Gemini 2.5 Pro Deep Search Multi-Step Reasoning Capabilities
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Using the Gemini 2.5 Pro model, Deep Search utilizes multi-step reasoning and a multiplied query fan-out technique, issuing hundreds of searches and asking clarifying questions to understand your intent. It then reasons across all the gathered information to create a
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Tracking LLM Improvements: Benchmarking New Language Models
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Yes. I guess the bigger question is, how do we track improvement on these kinds of things as new LLMs come out?