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LLMS
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Technical history of voice synthesis research and POCs
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Lesquels, par exemple ? Les 3 secondes d’enregistrement, c’est un truc qui était sorti chez Microsoft en 2023. OpenAI avait parlé de 15 secondes en 2022, mais ce n’est jamais sorti. Parce que c’étaient juste des POC théoriques, pas des méthodes réellement utilisables.
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Google launches AI health coach with Gemini, beats Apple
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Google releases the AI Coach in their new health app, beating Apple to the punch! Google has released an AI health coach that uses Gemini. So, essentially, a health coach that works with all (!) your health data. I think this is the first step towards a personal AI doctor and
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How Ramp Built an AI Agent for Data Analysis
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Talked to @ramplabs Head of Applied Research Alex Shevchenko on the Max Agency podcast to learn how @Ramp Sheets was built, their internal agent Inspect, and so much more.
— Harrison Chase (@hwchase17) 7 mai 2026
YouTube: https://t.co/gqWdkhc8xK
Apple: https://t.co/YLtl9owlPy
Spotify: https://t.co/gjI6kS5Fpj pic.twitter.com/aKElPwpLjNTalked to @ramplabs Head of Applied Research Alex Shevchenko on the Max Agency podcast to learn how @Ramp Sheets was built, their internal agent Inspect, and so much more. YouTube: https://
youtube.com/watch?v=trEM9O
Kr5Sc
…
Apple: https://
podcasts.apple.com/us/podcast/how
-ramp-built-an-ai-agent-that-can-think-outside/id1891551672?i=1000766630498
…
Spotify: https://
open.spotify.com/episode/49NvGQ
RI2TWlYXziJ2ALiz
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AI Advances in Coding and Cybersecurity Resilience
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Threats and resilience AI advances many areas at once. Claude Mythos Preview is our most powerful coding model; as a result, it’s also better at cybersecurity. TAI will hone techniques to assess dual-use capabilities and mitigate their risks.
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Text Generation Using Bidirectional LSTM Models
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NLProc: Text Generation Through Bidirectional LSTM Model. #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #Linux #Programming #Coding #100DaysofCode
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Short benchmark to test AI understanding based on Sutskever’s List
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Message from @rheimann … “I put together a short benchmark based on Sutskever’s List that tries to test actual understanding. Thought you might find it interesting”:
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Common LLM RAG Retrieval Accuracy Drops Explained
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A tricky LLM interview question: Your RAG system scores 90% retrieval accuracy on 5k company docs. But scaling to 500k docs drops the accuracy to just 50%, with the same embedding model and retriever. Why did this happen? The simplest answer is that more documents mean more
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AI memory future: from retrieval to LLM Wiki compilation
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RAG is already becoming the “old way” The future of AI memory is not retrieval.
It’s compilation. Here’s the shift in one sentence: From searching information To structuring knowledge The new model? LLM Wiki Instead of: Chunking documents Running similarity -
Anthropic tests Insights feature for its Managed Agents
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Anthropic is testing the Insights feature for its Managed Agents on Claude Console. > Up to 100 recent sessions are fetched. Each transcript is sent to the model (4 in parallel) with your agent's system prompt as context. The model writes a summary — task, actions, issues,