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@Oracle is sponsoring Interrupt! LangChain directly integrates with Oracle AI Database, helping developers build RAG and agentic applications on live enterprise data without extra vector stores or sync jobs. Stop by their booth during our agent conference to learn how to
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LangChain Integrates with Oracle AI Database for RAG and Agents
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CogAlpha: Using LLMs as Adaptive Agents for Financial Market Analysis
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Can AI find hidden patterns in stock markets that traditional methods miss? Researchers from China Mobile and the University of Hong Kong present CogAlpha — a framework that treats large language models as adaptive cognitive agents. Instead of relying on opaque neural nets or
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Topic Identification using Gensim and Python
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Topic Identification with Gensim Library using #Python. #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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LLaMA.cpp accelerates Gemma 4 runs with MTP
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Multi-Token Prediction support has been patched into LLaMA.cpp, speeding up local Gemma 4 runs!
— 🚨 AI News | TestingCatalog (@testingcatalog) 8 mai 2026
> The team quantized Gemma 4 assistant models into GGUF and tested them on a MacBook Pro M5 Max.
Gemma 4 26B with MTP draft tokens reportedly runs around 40% faster, suggesting a… https://t.co/pskUHcjSpl pic.twitter.com/sYtbuwWm6tMulti-Token Prediction support has been patched into LLaMA.cpp, speeding up local Gemma 4 runs! > The team quantized Gemma 4 assistant models into GGUF and tested them on a MacBook Pro M5 Max. Gemma 4 26B with MTP draft tokens reportedly runs around 40% faster, suggesting a
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Doc-V* Agent Introduces OCR-Free Efficient Document Retrieval
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Struggling with AI that can't handle long, multi-page documents? Researchers from HUST and Xiaomi introduce Doc-V*, an OCR-free agent that starts with a thumbnail overview, then actively retrieves and reads only the relevant pages, storing evidence in a working memory. It
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Technical Requirements for Deploying Long-Running AI Agents
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What does it actually take to deploy long-running agents and the runtime capabilities that make it possible? Join us for an evening in New York with
– Robert Xu, Deployed Engineering @LangChain – Austin Berke, Lead AI Product Engineer @harmonic_ai RSVP: Robert Xu, Deployed -
User switches from Grok 4.1 Fast to Grok 4.3 without reasoning
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I just use whatever is available, yday that was Grok 4.1 Fast Non Reasoning, now I try Grok 4.3 via grok-latest with reasoning set to none
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RAG is old way; future AI memory is compilation, not retrieval
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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 -
Secretary MEITY calls for indigenous AI at hackathon
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In his keynote address at the AB PM-JAY Auto-Adjudication Hackathon Showcase 2026, @SecretaryMEITY made the case for building AI that is rooted in India's linguistic and cultural context — and affirmed the IndiaAI Mission's commitment to supporting indigenous foundation model
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Try Gemma 4 Assistant GGUF Builds on Hugging Face
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You also want to give these Gemma 4 assistant GGUF builds a try on @huggingface →
https://
huggingface.co/collections/At
omicChat/gemma-4-assistant-gguf
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