Bing was rolled out as the default search provider for ChatGPT browser mode https://
testingcatalog.com/bing-rolled-ou
t-as-default-search-provider-for-chatgpt-browser-mode/
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LLMS
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Bing integrated as default search provider for ChatGPT browser mode
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GroqSpotlight Event: LLM Discussion on AI Inference Optimization
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Our #LLM discussion is hours away. It's not too late to register for our second GroqSpotlight: Quenching AI Thirst with Inference. http://
Groq.link/slllm. -
Exclusive AMA with Snorkel AI CEO on LLMs and Data Development
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Join our exclusive AMA on Slack with @ajratner
, CEO and cofounder of Snorkel AI, on May 26 at 11 am Pacific! Get the chance to ask Alex about #LLMs, programmatic data development, weak supervision, and more. See you there! http://
snkl.ai/fdcai-slack -
Audience Participation in RLHF Training Process
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Absolutely. We have an audience, and hopefully they help out with the RLHF 🙂
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ChatGPT Revolution: Economist Nicolas Bouzou’s Key Insights
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Excellente synthèse des bouleversements induits par #ChatGPT par @nbouzou Nicolas Bouzou est l’un des TRÈS rares économistes qui a compris cette révolution
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The Future of Local Open-Source AI Model Execution
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Hope to see a future where individuals run open-source models locally, often offline.
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The debate over censorship in Generative AI output
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Censoring the output of ChatGPT is not a good thing, especially over the long-term. When censorship begins, it only increases with time. Generative AI should be a tool for free speech.
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John Schulman on Reinforcement Learning from Human Feedback
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John Schulman – Reinforcement Learning from Human Feedback: Progress and Challenges https://
bit.ly/41NGSs0 #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Apple PyTorch Support Could Reshape AI Model Development
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Realistically the biggest wild card would be some kind of extensive PyTorch support from Apple, which could alter model development workflows—but would not break Nvidia’s grip on foundation models.
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Stanford Shows LLM Pre-training Cost Reduction Breakthrough
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Excellent work from Stanford showing pre-training can be greatly cost-reduced. It is our collective hope that LLM training can become methodical, scalable, and efficient.