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IntroductionA couple weeks back in our blog on ChatGPT plugins we talked about the potential for plugins to help expand ChatGPT’s functionality by allowing it to leverage third-party resources to act upon the conversations that you have with it. The value for these plugins is greatest when they help make up for a current short-coming that ChatGPT has. For example ChatGPT is built on top of GPT 4.
Generative Feedback LoopsAutomatically improve the quality of your data Better data means better outcomes. Use content generated by Large Language Models (LLMs) to enrich your dataset. Spend less time on manual data cleaning. 1listings = client.collections.get("Listing") 2 ads = client.collections.get("Ad") 3 4 # Perform RAG 5 response = ( 6 listings.generate.fetch_objects( 7 single_prompt=""" 8 W
IntroRunning out of memory is never fun, but it's incredibly frustrating when you've already taken some precautions and calculated your exact memory needs. "My application requires 4GB of memory. How is it possible I ran out of memory on my 6GB machine!?". As it turns out, this was a real possibility in a garbage collected ("GC") language like Golang. The emphasis is on the word "was" because Go
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