"Building Business-Ready Generative #AI Systems — Build Human-Centered Generative AI Systems with Context-Aware Agents, Memory, and LLMs for the Enterprise" at http://
amzn.to/3Jdcio5 v/ @PacktDataML Learn:
Implement an AI controller with a conversation AI agent and
LLMS
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Building Business-Ready Generative AI Systems Guide
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Context Engineering and Memory Models for Multi-Agent Systems
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"Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning" — at http://
amzn.to/448dSiA v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Develop memory models to retain short-term and -
Perplexity Launches Model Council for Multi-Agent Task Execution
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BREAKING 🚨: @perplexity_ai LAUNCHES MODEL COUNCIL, A NEW MODE WHERE GEMINI 3 PRO, OPUS 4.5 AND GPT 5.2 WILL WORK AS A SWARM OF ASYNC AGENTS ON YOUR TASK.
— 🚨 AI News | TestingCatalog (@testingcatalog) 5 février 2026
Perplexity MAX 🔥 https://t.co/n0eKrkhSw1 pic.twitter.com/sCvVQQwGsfBREAKING : @perplexity_ai LAUNCHES MODEL COUNCIL, A NEW MODE WHERE GEMINI 3 PRO, OPUS 4.5 AND GPT 5.2 WILL WORK AS A SWARM OF ASYNC AGENTS ON YOUR TASK. Perplexity MAX
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Community Evals and Benchmarks for Decentralized AI Model Assessment
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We just shipped Community Evals and Benchmark repositories for decentralized evals 🤗
— Hugging Face (@huggingface) 5 février 2026
> Scores you and model authors report are on leaderboards 🙌🏻
> Benchmark datasets host live leaderboards of reported results 🚀
> You can open PRs to add scores, they live in model… pic.twitter.com/0BshCACsycWe just shipped Community Evals and Benchmark repositories for decentralized evals > Scores you and model authors report are on leaderboards > Benchmark datasets host live leaderboards of reported results > You can open PRs to add scores, they live in model
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Claude Opus 4.6 spotted in Perplexity APIs
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BREAKING : CLAUDE OPUS 4.6 HAS BEEN SPOTTED IN PERPLEXITY APIs! * keep in mind that this doesn’t imply an imminent release. https://
x.com/synthwavedd/st
/synthwavedd/status/2019383298817159605
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Small Models AI Discussion and Use Cases Exploration
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Lots of interest around small models! It was a pleasure ranting about AI and talking about your use cases. Thanks to @josephinePqt1 and the AI Circle for inviting me!
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RLHF Bias: Millions for Nice but Useless Answers
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They are working on it; the problem is that they paid millions of dollars, notably OpenAI, to get RLHF databases where labelers tended to choose nice answers rather than useful ones. Whether it's human bias or a directive, we don't know, but it's been identified….
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Goodbye verifiable Google, hello divergent AIs
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Yes indeed! The growing modularity of AI models in relation to user contexts will eventually create more and more differing views of reality. Gone is the verifiable "it's true, I saw it on Google," replaced by "but my AI didn't tell me the same as yours!"
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New Gemini model checkpoint spotted in A/B testing
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BREAKING : A new Gemini checkpoint has been spotted in A/B testing. Will we see this live?
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Meta’s upcoming Avocado model reported as most capable internally
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According to The Information, upcoming Avocado model from Meta is referenced as the “most capable “ to date internally. Soon?