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The Tech Buffet #23: What Nobody Tells You About RAGs
A deep dive into why RAG doesn't always work as expected: an overview of the business value, the data, and the technology behind it.
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Ahmed Besbes
The Tech Buffet #19: How To Build and Deploy an LLM-Powered App To Chat with PapersWithCode
Keep up with the latest ML research
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Ahmed Besbes
The Tech Buffet #18: Advanced Retrieval Techniques for RAG
Query expansion, cross-encoder re-ranking and embedding adaptors
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Ahmed Besbes
The Tech Buffet #17: 9 Effective Techniques To Boost Retrieval Augmented Generation (RAG) Systems
ReRank, Hybrid Search, Query Expansion, Leveraging Metadata and more...
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Ahmed Besbes
The Tech Buffet #16: Quickly Evaluate your RAG Without Manually Labeling Test Data
Automate the evaluation process of your Retrieval Augment Generation apps without any human intervention
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Ahmed Besbes
The Tech Buffet #15: Build and Evaluate LLM Applications with TruLens
Understand why your LLMs responded that way and take actions to prevent hallucinations
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Ahmed Besbes
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The Tech Buffet #14: A 3-Step Approach To Evaluate Your LLM-based Applications
Stop selecting the parameters of your RAG randomly
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Ahmed Besbes
2
The Tech Buffet #13: Getting a RAG To Work Well Is Hard - 5 Blog Posts To Become a RAG Master
What you should expect: RAG limitations, Tips on performance and production, Applications to specific domains, New methods for retrieval
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Ahmed Besbes
The Tech Buffet #12: Improve RAG Pipelines With These 3 Indexing Methods
The data we retrieve doesn’t have to be the same as the data we used while indexing
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Ahmed Besbes
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The Tech Buffet #9: Let's talk about LLM Hallucinations
Why do they happen? How to quantify them? How to avoid them?
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Ahmed Besbes
The Tech Buffet #8: Flowise - An Interface To Build and Test LLMs Apps Easily
With no-code, directly from the browser.
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Ahmed Besbes
The Tech Buffet #6: Why Your RAG is Not Reliable in Production
And how you should tune it properly 🛠️
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Ahmed Besbes
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