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LLMS
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Using Anthropic Workbench for Prompt Engineering and Model Fine-tuning
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I got stuck with one particular tool and didn't have time to test other newly released things so now I have a huge backlog. Guess which tool?
— 🚨 AI News | TestingCatalog (@testingcatalog) 10 juillet 2024
Anthropic's Workbench! 👀
There you can generate test cases for your prompts.
It is insanely useful for fine-tuning writing GPTs! pic.twitter.com/OcN5BurFnZI got stuck with one particular tool and didn't have time to test other newly released things so now I have a huge backlog. Guess which tool? Anthropic's Workbench! There you can generate test cases for your prompts. It is insanely useful for fine-tuning writing GPTs!
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Anthropic Unveils New Developer Console Features for Prompt Engineering
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Read more https://
testingcatalog.com/anthropic-unve
ils-new-developer-console-features-for-ai-prompt-engineering/
… Try here https://
console.anthropic.com -
Building with Claude Sonnet 3.5 Initial Prompt Iteration
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The idea morphed a bit as I was building, but here’s the initial prompt on Claude Sonnet 3.5 with no special system message
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User feedback regarding ChatGPT voice options
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Any plans to add these voices to ChatGPT? 4 are not enough
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Claude 3 Haiku Fine-tuning Achieves 99.6% Classification Accuracy
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In testing, we tuned Haiku to act as a moderator on an example dataset. Fine-tuning improved classification accuracy from 81.5% to 99.6% and reduced prompt tokens per query by 89%. Fine-tuning for Claude 3 Haiku is available today in preview in Amazon Bedrock.
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Claude 3 Haiku Fine-Tuning Now Available on Amazon Bedrock
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You can now fine-tune Claude 3 Haiku—our fastest and most cost-effective model—in Amazon Bedrock.
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Try Claude Sonnet 3.5 with ChatLLM Platform
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You can play around with Sonnet 3.5 with ChatLLM!https://t.co/NRJ2OV7dlp pic.twitter.com/hyaPykObqJ
— Abacus.AI (@abacusai) 10 juillet 2024You can play around with Sonnet 3.5 with ChatLLM! http://
chatllm.abacus.ai -
RAG Optimization with MongoDB Vector Search Course
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Learn to optimize RAG for cost and performance in our new short course, Prompt Compression and Query Optimization, created with @MongoDB and taught by @richmondalake.
— Andrew Ng (@AndrewYNg) 10 juillet 2024
This course teaches you to combine traditional database capabilities with vector search using MongoDB for RAG.… pic.twitter.com/jHOXsEbG66Learn to optimize RAG for cost and performance in our new short course, Prompt Compression and Query Optimization, created with @MongoDB and taught by @richmondalake
. This course teaches you to combine traditional database capabilities with vector search using MongoDB for RAG. -
LLMs in Creative Writing and Content Creation: Uses and Limitations
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5. LLMs in Creative Writing and Content Creation: • How LLMs are used to generate articles, stories, and poetry.
• Benefits and limitations.
• Examples of successful use cases.