• Avoid chain-of-thought prompts: Since this model performs reasoning internally, prompting them to "think step by step" or "explain your reasoning" is unnecessary.
@whats_ai
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Keep AI Prompts Simple and Direct for Better Results
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• Keep prompts simple and direct: This model better understands and responds to brief, straightforward instructions without extensive guidance.
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OpenAI Announces o1: Key Tips for Users
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Since lots of you will be using o1 in the next few days, thanks to today's @OpenAI announcements, remember to…
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Improving Data Discovery in RAG Applications: From Keywords to GraphRAG
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Good morning everyone! In this iteration, we’re exploring how to improve how you find information in your RAG applications. We’ll cover everything from old-school keyword searches to more recent methods such as GraphRAG. By the end, you’ll know exactly how to make your data
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Optimizing Search in RAG Systems: Advanced LLM Techniques
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New video (and new discount!) : Techniques for Optimizing Search in RAG Systems Learn more: https://
youtu.be/tSyDodhNE-A This is the video 5/10 of the "From Beginner to Advanced LLM Developer" course by @towards_AI
. Join our Cyber Monday Cohort now before December 8th with 15% off! -
What AI Career Goals Matter Most to You?
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What’s Your AI Career Goal? Any other reason? Let me know #ai #llm #rag
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Embedding Models in RAG Pipelines: Essential Guide
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Good morning everyone! Today, we dive into an important part of the Retrieval-Augmented Generation (RAG) pipeline: the embedding model. All the data you have will be entered into embeddings, which we’ll then use to retrieve information. So, it’s quite important to understand
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Fine-Tuned Embeddings Boost RAG Model Performance
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New video (and black friday deal!): Boost RAG Performances with Fine-Tuned Embedding Models! Learn more: https://
youtu.be/YE6-dS-80KQ p.s. check the video description for a black Friday discount on our courses! #ai #rag #llm #llms -
RAG vs Long Context: Why Choose RAG with Gemini
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Good morning everyone! Here's the third video of 10 for the "From Beginner to Advanced LLM Developer" course by Towards AI. In this one, we talk about a highly-quoted topic: RAG or long context. Many people ask us why we use RAG if Gemini can take millions of tokens as inputs.
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RAG vs Long Context Models: Is Retrieval-Augmented Generation Dead?
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RAG vs. Long Context Models: Is Retrieval-Augmented Generation Dead? 3/10 of the "From Beginner to Advanced LLM Developer" course by Towards AI! Follow the channel to see the others 😉 Learn more in the video: https://
youtu.be/qN3vhWlzd4A #rag #llms #llm #gemini