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saran945
searching Neon…
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Fugu: Learn to assemble, route, and coordinate expert agents [pdf]
(github.com)
3 points
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saran945
3mo ago
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0 comments
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Turn any software into an agent-native CLI
(github.com)
2 points
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saran945
6mo ago
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1 comments
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saran945
6mo ago
CLI-Anything generates a complete command-line interface for existing software (if codebase available). they've already generated CLIs for 11 complex applications, I guess this is cool, can be used to make classic software to Agentic
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Show HN: API to get structured data from any site's search
(searchresult.dev)
2 points
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saran945
7mo ago
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0 comments
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saran945
9mo ago
currencies are hard code as of now, Will connect with some api's. "100 watt hours to joules", Thanks for let me know - its a parsing error.
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Show HN: Convert Anything, Instantly
(toolbox.run)
3 points
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saran945
9mo ago
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2 comments
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Algorithms are jailed in PDF files
2 points
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saran945
1y ago
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0 comments
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Automating IDEs: Who's Working on It?
2 points
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saran945
2y ago
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0 comments
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saran945
2y ago
“The AMT/AIT was also weaponized by certain political elements in India to proliferate harassment against the Brahmins of Tamil Nadu” I was born and raised in Tamil Nadu, having lived there for over two decades. In my experience, I hav
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Show HN: AI Feed
(weblist.ai)
1 points
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saran945
2y ago
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0 comments
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Future of Online Tasks
1 points
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saran945
2y ago
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0 comments
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Show HN: Generate and follow Structured Feeds from any web page
(weblist.ai)
3 points
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saran945
2y ago
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0 comments
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Commit0: Library Generation from Scratch
(openreview.net)
2 points
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saran945
2y ago
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0 comments
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saran945
2y ago
Extracting a list page using an LLM costs $1, so I reused the selectors when extracting data from the same page in subsequent operations to optimize costs. the extraction works well for search result pages as well. As far I know none of the
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Show HN: Monitor Any List Page Without RSS Feeds
(weblist.ai)
2 points
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saran945
2y ago
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1 comments
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saran945
2y ago
I have downloaded exe for windows, Chrome saying "Failed virus detected"
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Single prompt achieves competitive results with o1-preview
(arxiv.org)
3 points
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saran945
2y ago
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1 comments
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saran945
2y ago
"We evaluated REAP using a dataset designed to highlight the limitations of large language models (LLMs), comparing zero-shot prompting with REAP-enhanced prompts across six state-of-the-art models: OpenAI’s o1-preview, o1-mini, GPT-4o
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An agent to navigate previously unseen code repositories to solve queries
(github.com)
1 points
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saran945
2y ago
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0 comments
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saran945
2y ago
Cool. 1. Currently, it's a proof of concept only. In the next release, I will make sure to include some use cases/examples. 2. I haven’t finalized the pricing yet. For now, it's free. When I release, the starting price will b
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saran945
2y ago
I made using https://www.screen.studio/
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saran945
2y ago
Extended version Autogen. Added 8 new tools and modified some prompts. I never expected this much quality. linking my tiny benchmarking test in a tweet. https://x.com/saran945/status/1815441284812738734
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saran945
2y ago
I don't understand your question. . . Do you need more details about How it finds the answer? I already shared most of the part in this thread. The home page was done in 60 minutes, the whole product was done in 3 days. I was testing a
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saran945
2y ago
I slept, sorry for the delay reply. The quality of LLM does not improve my product much, I am facing extraction issues, will have to improve continually. "You are going to see a lot of competition in this space." I welcome them a
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saran945
2y ago
Huginn is a great product, though I never used, I am aware of the value it provides. Alertfor is not similar to Huginn. my product is part of something else, I extracted and unleased as separate product. Will go in different direction.
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saran945
2y ago
The rules suggesting that I would get more feedback if there is no signups. Anyways, luckily I have got enough feedback :) next release will have some public access without signups.
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saran945
2y ago
sure. I do not stop. I have designed the product for consumers and professionals. Since it's a new kind of product (?), I'm unsure what to call it. The agents continuously search the web on behalf of the user and create a feed for
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saran945
2y ago
RAG is to enhance the generation capabilities of a language model by integrating external knowledge sources (DB, KB etc). This is done by retrieving relevant information from a knowledge base or document store and using it to inform or augm
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saran945
2y ago
Awesome!! Kindly try now with same question. I made some changes. I use Bing API as a initial resource selector. there were some issues. fixed it.
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saran945
2y ago
I use LLM+Agentic framework, it runs every 6 hours. In the next release I will provide UI to customize it (daily, weekly, 6 hours).
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