Coral is grounded. Workers need to understand where information is coming from. To help verify responses, Coral produces citations from relevant data sources. Our models are trained to seek relevant data based on a user's need (even from multiple sources).
LLMS
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Data Framework for Connecting Custom Sources to LLMs Launch
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Very interested and excited to see this launch This type of data framework for connecting custom data sources to LLMs is exactly what's needed
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GPT-4 System Card: Capabilities, Limitations and Safety Considerations
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source: https://
cdn.openai.com/papers/gpt-4-s
ystem-card.pdf
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RLHF Scaling: Massive Performance Gains With Larger Models
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RLHF gets far more powerful as models get bigger here you see GPT-3.5 vs GPT-4 performance. you'll notice before fine-tuning, GPT-4 is a little bit better. but the really big gains come from GPT-4 after RLHF fine-tuning—that's the real unlock RLHF scales with model size!
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Supercharge Llama 2 with RAG Webinar Tomorrow
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Supercharge Llama 2 with RAG Beyond excited to be doing a webinar exploring how to supercharge Llama 2 with two of the best in the biz: @jamescalam from @pinecone @RLanceMartin from @langchain This last-minute webinar will be TMRW @ 3PM PST
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ChatGPT and Copilot Impact on Stack Overflow Community
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ChatGPT & Copilot? https://
observablehq.com/@ayhanfuat/the
-fall-of-stack-overflow
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Marketing AI Show Episode 56: Llama 2, xAI, and AI Responsibility
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Here are the timestamps for episode 56 of The Marketing AI Show: 00:03:48 — Meta's Llama 2 00:15:01 — Elon Musk’s X and xAI 00:25:28 — Meta, Google, Microsoft, OpenAI and Others Make AI responsibility promises to the White House 00:34:25 — Introducing ChatGPT Custom
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Meta Llama 2 and Big Tech’s Responsible AI Commitments
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Meta's Llama 2, Twitter (er, X), and commitments for responsible AI from big tech highlight another crazy week of AI news. Plus, murmurs are growing that we’re about to enter another very disruptive phase of AI announcements and releases. So, stay tuned for what could be a
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LLM-Based Software Development Best Practices and Productization
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🧑🎓Best practices for building, testing and improving LLM-based software products are emerging as we speak.
— Nathan Benaich (@nathanbenaich) 25 juillet 2023
At @raais, @fergal_reid Senior Director of ML @intercom walked through the Intercom's journey productising LLMs, their AI development tactics, and thoughts on how to best… pic.twitter.com/jZaENBIJ1jBest practices for building, testing and improving LLM-based software products are emerging as we speak. At @raais
, @fergal_reid Senior Director of ML @intercom walked through the Intercom's journey productising LLMs, their AI development tactics, and thoughts on how to best -
Language Models Guide Advanced Robotic Control Systems
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@SereactAI – more on language model-guided robotic control systems.