How RAG Turns AI Chatbots Into Something Practical
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Top Comments (10)
LLMs are like cars, if it stands in the middle of the deep forest we can point at it and laugh at how it's stupid and how it's better to just walk through the forest. RAG and tools (as in tool-calling for llms) are the infrastructure comparable to roads. Many people don't realize that once the "car" gets on the proper "road", it is all of sudden very efficient at what it does. We don't faster cars (e.g. GPT-5), infrastructure is all we need right now.
Check out ThinkBuddy using the code "BYCLOUD" in the link: https://thinkbuddy.ai/ltd to get your discount!
Long time no see bycloud
Describing all these AI news and papers for casual mortals takes significant efforts
Your thumbnail reminds me of The Code Report
Video went from RAGs to Riches
Timestamps 00:04 - RAG enhances AI chatbots for practical use 01:20 - RAG process involves indexing, retrieval, and generation stages. 02:35 - Utilizing DALL-E to formulate coherent and contextually relevant responses. 03:53 - Using trainable embedding model for better document organization 05:13 - AI chatbots use input query rewriting and hybrid search for accurate information retrieval. 06:36 - RERank model uses threshold to filter out irrelevant information 07:55 - Think Buddy combines the strengths of multiple AI models for instant help. 09:11 - Get 30% off with limited code for first 50 sales
Interesting and well done video, despite trying hard to imitate fireship
fireship thumbnails going hard lol
Major companies are seriously overselling the necessity for higher compute to get everything! When you really only want to understand a limited amount of information. This is great!
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Top Comments (10)
LLMs are like cars, if it stands in the middle of the deep forest we can point at it and laugh at how it's stupid and how it's better to just walk through the forest. RAG and tools (as in tool-calling for llms) are the infrastructure comparable to roads. Many people don't realize that once the "car" gets on the proper "road", it is all of sudden very efficient at what it does. We don't faster cars (e.g. GPT-5), infrastructure is all we need right now.
Check out ThinkBuddy using the code "BYCLOUD" in the link: https://thinkbuddy.ai/ltd to get your discount!
Long time no see bycloud
Describing all these AI news and papers for casual mortals takes significant efforts
Your thumbnail reminds me of The Code Report
Video went from RAGs to Riches
Timestamps 00:04 - RAG enhances AI chatbots for practical use 01:20 - RAG process involves indexing, retrieval, and generation stages. 02:35 - Utilizing DALL-E to formulate coherent and contextually relevant responses. 03:53 - Using trainable embedding model for better document organization 05:13 - AI chatbots use input query rewriting and hybrid search for accurate information retrieval. 06:36 - RERank model uses threshold to filter out irrelevant information 07:55 - Think Buddy combines the strengths of multiple AI models for instant help. 09:11 - Get 30% off with limited code for first 50 sales
Interesting and well done video, despite trying hard to imitate fireship
fireship thumbnails going hard lol
Major companies are seriously overselling the necessity for higher compute to get everything! When you really only want to understand a limited amount of information. This is great!