In this video, @Stanford scholar @jwthickstun demos the Anticipatory Music Transformer, a new AI tool for composers:
TOOLS
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Free Webinar on RAG Systems, ChatLLMs, and AI Agents
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We at http://
Abacus.AI are hosting a free webinar on RAG systems, ChatLLMs, & AI Agents next week! We kick-off with a brief overview of LLMs and and recent developments in the AI landscape and also cover/provide a demonstration on the following: •Chat/Data/DocLLMs – -
GPT Database: Browse and Rank Custom GPTs by Niche
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Lastly, for some inspiration and ideas on what GPT to build, check out our GPT database. It has every GPT you need to know about, including categorization by niche and ranking:
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Create high-performing GPTs with these optimized prompts
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Creating #GPTs on #ChatGPT is easy. But creating truly useful and high-performing GPTs is another story. Unless you use these prompts → https://youtu.be/8of5c3XidvA With them, you will create unique and optimized GPTs for the GPT Store.
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New LLMOps Short Course by Google Cloud
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New short course on LLMOps!
— Andrew Ng (@AndrewYNg) 18 janvier 2024
LLMOps (large language model operations) is a rapidly developing field that takes ideas from MLOps (machine learning operations) and specializes them to building and deploying LLM-based applications. In this course, taught by @googlecloud's Erwin… pic.twitter.com/zTKXFHSlBZNew short course on LLMOps! LLMOps (large language model operations) is a rapidly developing field that takes ideas from MLOps (machine learning operations) and specializes them to building and deploying LLM-based applications. In this course, taught by @googlecloud
's Erwin -
There’s An AI For That: biggest aggregator of AI tools
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2. There's An AI For That by @theresanaiforit
: Biggest aggregator of AI Tools. http://
newsletter.taaft.com -
Top 7 AI newsletters to never be left behind
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AI isn't going anywhere. Staying updated is the only way to stay relevant. Here's top 7 AI newsletters you must follow to never be left behind:
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Full prompt engineering guide from OpenAI
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Here's the full prompt engineering guide if you want to explore it in more detail: https://
platform.openai.com/docs/guides/pr
ompt-engineering/strategy-test-changes-systematically
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Strategy 5: Use External Tools for Knowledge Retrieval
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Strategy 5: Use External Tools. Examples:
– Implement embeddings-based search for knowledge retrieval.
– Use code execution for accurate calculations or API calls.
– Provide ChatGPT access to specific functions. -
Systematic testing and evaluation of ChatGPT outputs
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Strategy 6: Systematically Test and Evaluate ChatGPT Outputs. Examples:
– Implement a model-based evaluation: check if ChatGPT's answers include specific known facts.
– Use a systematic approach: restate the fact, find the closest citation in ChatGPT's answer, and judge its