ChatGPT can do anything we just need to know best prompts
LLMS
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Evaluate and Choose the Best LLM for Your Needs
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We recommend evaluating all the LLMs and adopting the best one for your use case
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Guide to creating a ChatGPT prompt generator
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5. Make ChatGPT Prompt Generator "Develop a set of guidelines for creating a ChatGPT prompt generator tool. Define the tool's functionality, user input requirements, and the logic needed to generate effective prompts for various applications."
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UI updates for AI voice interaction and context windows
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And a slight change on the UI for voice button and context window. + some signs of the upcoming “new” voices
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Custom Language Models in Your VPC: Security and Performance
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You can have your and eat it too! Customized, high-performance language models (#SLMs) that you own served reliably in your #VPC! No need to share #data or compromise #security. If you want to learn more, here's the replay from our recent webinar: https://
youtube.com/watch?v=XFCgA0
qGCWk
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PlanSearch: New SOTA Test-Time Compute Method for Code
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New SOTA test-time compute result from Scale SEAL We are releasing a new SOTA test-time compute method called PlanSearch. It meaningfully outperforms existing approaches on LiveCodeBench via a new diversity-based search method See more about our SEAL open research below: https://
x.com/hughbzhang/sta
/hughbzhang/status/1832079839840575705
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Cohere showcases enterprise AI models at AWS Summit Toronto
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Come say hello at AWS Summit Toronto next week! We’ll be at Booth 102 in the Exhibitor Pavilion, giving a demo of our enterprise-grade frontier AI models, including Command R, Rerank, and Embed.
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Meta Llama 3.1 405B Sets Speed Efficiency Record
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Thank you to @SiddharthJin97 for his thoughtful piece on our performance milestone! We're proud to be a leader in AI speed and efficiency, setting the world record with Meta’s Llama 3.1 405B model at 4X faster than other providers. Read his full article on @Analyticsindiam
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Llama 3.1 capabilities comparison with other models
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I'm not sure they do, but Llama 3.1 doesn't for example so you're comparing apples and oranges anyway
