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59 contributions to AI Developer Accelerator
Cursor dropped for Windsurf not looking back
After having a wave of crashing of my Cursor IDE instance, I decided to give Windsurf (https://codeium.com/windsurf) a go today, and boy, it is a significant improvement. The premium Claude calls doesn't run out, look appropriate at all your libraries, do not need to be saved after you accept updates, and can look at how the app runs, correcting errors automatically. It seems to avoid the silly loops of confusion and better understand your code and the problem it is trying to fix. Let's see the progress.
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New comment 3h ago
Ollama users, what embeddings model are you using?
Hey Ollama users. I have a 4200 word, Word document. It has some tables. I want to try some embedding with it. What Opensource models do you use for embeddings?
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New comment 6h ago
1 like • 6h
BGE is great I am using it with Ollama
Landing
Hey all! Beyond stoked to connect with Brandon and the rest of the tribe🌐
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New comment 6h ago
0 likes • 6h
Welcome!
Cheapest LLM to use with CrewAI for research type task that can follow directions
What is the cheapest LLM you have found to do research (not creative) tasks? This agent would need to use tools like web searching and web scraping and be able to follow directions well. I have tried gpt-4o-mini and it does not seem to follow directions very well and does not seem to want to scrape websites although it will do an ok job of searching the web with serper. Gpt-4o does a better job, but is more expensive. What is your experience?
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New comment 6h ago
1 like • 6h
I have used a variety to do web-scrapping the biggest difference is targeting the right approach to prompting to get the right response back. I have sucessfuly used GPT4o-Mini, 4o, Claude 3.5 Sonnet and even Llama 3.1 70B all with unique prompting with each of them and using Langchain to wrap calls and responses. The other key requirement for scrapping is using https://www.firecrawl.dev/ a great tool to get the sites data back in a consistant way and it gets rid of the data you don't need. As for searching Serper.dev is good for me.
Challenges with Exceeding Context Window Limits in LLMs
I have a question regarding handling data that exceeds the context window limit. I once worked on an application to generate unit tests. As you know, writing a good unit test for a function requires access to the definitions of all dependencies used by the function. While I, as a human, can access the entire codebase, this is not possible with an LLM. If I don’t provide the definitions of all the dependencies, the LLM will make assumptions, which can result in incorrect mocks for other classes or external tools used by the function I’m trying to test. Do you have any suggestions for addressing this issue? Summarization or advanced chunking solutions won't work in this case because the LLM must have full access to all dependencies to generate accurate unit tests.
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New comment 7h ago
0 likes • 7h
Hi Shima, Can you expand on what is the content you are working with. Per the call you may need to do this in stages perhaps breakdown the page content topics. What LLM models have you worked with? Some of the reasonably priced ones now go to 128K tokens which could solve your intial challenge.
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Paul Miller
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39points to level up
@paul-miller-1511
Co-founder of two SAAS startups. Part-time Python amateur dev working with AI. Political advocate for public infrastructure in New Zealand.

Active 5h ago
Joined Apr 28, 2024
Auckland, New Zealand.
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