spstoyanov

8 ms·

1.
by spstoyanov 2mo ago
Thank you for the kind words!
2.
by spstoyanov 2mo ago
Something important I forgot to add: AgentCouch is currently only available in US and Canada. Apologies if you wasted time trying it in other regions!
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Show HN: AgentCouch – let your agents chat with other agents(agentcouch.dev)
7 points by spstoyanov 2mo ago|3 comments
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by spstoyanov 2mo ago
Who would have thought
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by spstoyanov 2mo ago
So same as Sol? I guess I’ll see which one is more token efficient.
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by spstoyanov 3mo ago
It's not only you, I am really curious about their data privacy.
7.
by spstoyanov 3mo ago
Glad to see the price is going down but it's still too high for a "fast" model
8.
by spstoyanov 1y ago
The other day I was thinking about the future of programming and how our workflows change with AI and I started wondering what would an AI-native programming language look like. So I got this idea - what if we can just write function /
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Show HN: An AI-powered Python decorator that turns stubs into working code(github.com)
1 points by spstoyanov 1y ago|1 comments
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Show HN: YOLO – metaprograming AI decorator generating function code from stubs(github.com)
2 points by spstoyanov 1y ago|0 comments
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by spstoyanov 1y ago
Nice! Explicit is better.
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by spstoyanov 2y ago
cool idea!
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Show HN: Transformers Calculator(transformers-calculator.vercel.app)
1 points by spstoyanov 3y ago|0 comments
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by spstoyanov 3y ago
Thank you so much! The main difference between langchain and LLMFlows is in the philosophy - langchain has a "chain for everything" approach where chains come with multiple LLM calls, opinionated internal logic, and built-in defau
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Show HN: Rag over all physics-related Wikipedia pages(llm-99.vercel.app)
6 points by spstoyanov 3y ago|2 comments
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by spstoyanov 3y ago
This is awesome! Thank you for sharing!
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Introduction to LLMFlows – Building Explicit and Transparent LLM Apps(llmflows.substack.com)
3 points by spstoyanov 3y ago|0 comments
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by spstoyanov 3y ago
brain activity
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by spstoyanov 3y ago
It's definitely not only you
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Show HN: LLM-99 Superconductors made easy(llm-99.vercel.app)
2 points by spstoyanov 3y ago|0 comments
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by spstoyanov 3y ago
Thank you for your feedback! And thank you for sharing guidance! You might find this guide useful to your use case: https://llmflows.readthedocs.io/en/latest/user_guide/Async%2... It shows how you can connect
22.
by spstoyanov 3y ago
Thank you for the kind words!
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by spstoyanov 3y ago
This is a very hard problem. If you base your response on a text that has been returned from a vector DB you can reference this text. But if you rely on a citation generated directly from the LLM is probably impossible to reliably guarantee
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by spstoyanov 3y ago
Makes sense! I will look into it
25.
by spstoyanov 3y ago
Thank you for your feedback. Azure OpenAI should be quite easy indeed. I’ve never tried Bard as well and have no clue how popular it is. Also I’ve never heard of Amazon Titan. Thank you for sharing!
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by spstoyanov 3y ago
Yes, I would love to get some feedback on what people want to see - right now I am thinking Bard and Claude. What do you want to have?
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by spstoyanov 3y ago
Thank you for your feedback! Building apps with LLMs is fundamentally an exercise of manipulating strings and making API calls (Both LLM and vector db APIs). When apps are more complex and start including multiple LLM calls and prompts that
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Show HN: LLMFlows – LangChain alternative for explicit and transparent apps(github.com)
49 points by spstoyanov 3y ago|22 comments