gauravvij137

5 ms·

1.
Don't waste Claude limits babysitting AI experiments(heyneo.com)
3 points by gauravvij137 3mo ago|0 comments
2.
Extend Claude limits by offloading AI tasks to Neo(heyneo.com)
2 points by gauravvij137 4mo ago|1 comments
3.
by gauravvij137 4mo ago
Neo is a specialised AI/ML engineering agent that can be accessed via an MCP server inside Claude Code. Claude code is great at software engineering but when it comes to iterative AI tasks that require long horizon experimentation and
4.
by gauravvij137 4mo ago
They've come along pretty far now. I remember when there was hype around GLM 5 reaching great heights on benchmarks but eventually failing on practical coding and reasoning tasks. I guess this time the hype is real.
5.
by gauravvij137 4mo ago
is this different from accessing on Openrouter?
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by gauravvij137 4mo ago
A fully automated prompt optimizer - https://github.com/gauravvij/autoprompter Built with inspiration from Karpathy's AutoResearch + PromptFoo.
7.
by gauravvij137 4mo ago
The data leaving AWS boundary kills this for any regulated workload. We've been running side-by-side evals of open models against Claude on private test suites, using Neo as the orchestration layer. Keeps everything in-house and gives
8.
What's inside the trending "skills" repos for Claude Code(aisignals.heyneo.com)
4 points by gauravvij137 4mo ago|1 comments
9.
by gauravvij137 4mo ago
Five of the top 10 AI repos on GitHub trending this week are "skills" packs for Claude Code. The label is doing wildly different work across them. forrestchang/andrej-karpathy-skills (~70k stars). One CLAUDE.md file, four beh
10.
Show HN: Host any GGUF model in one command(github.com)
3 points by gauravvij137 6mo ago|0 comments
11.
Show HN: FC-Eval – CLI to Benchmark Local or Cloud LLMs on Function Calling(github.com)
3 points by gauravvij137 7mo ago|0 comments
12.
Show HN: Auto LLM Ranker – Describe a task in English and get ranked models(github.com)
3 points by gauravvij137 7mo ago|0 comments
13.
Show HN: GitHub Repo Agent – an agent that explores and reasons on GitHub repos(github.com)
4 points by gauravvij137 7mo ago|0 comments
14.
Show HN: Kitten TTS Based Low-Latency Streaming Voice Assistant on CPU(github.com)
3 points by gauravvij137 7mo ago|0 comments
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Show HN: LLM Council – Run multiple LLMs with critique and consensus eval(github.com)
4 points by gauravvij137 7mo ago|0 comments
16.
Show HN: CLI tool to analyze your Vector Embeddings!(github.com)
2 points by gauravvij137 8mo ago|1 comments
17.
by gauravvij137 8mo ago
Working with embeddings (RAG, semantic search, clustering, recommendations, etc.), means: - Generate embeddings - Compute cosine similarity - Run retrieval - Hope it "works" But then I stumbled upon the issue of not being able to
18.
AI Agent swarm for Stock trading simulation(github.com)
3 points by gauravvij137 8mo ago|1 comments
19.
by gauravvij137 8mo ago
We just released an open source project for agent swarm based stock trading simulations built and tested by heyneo.so - Fully autonomous ML engineering agent. The agent swarm self coordinates with each other via an asynchronous message bus.
20.
9x MobileNet V2 size reduction with Quantization aware training(github.com)
2 points by gauravvij137 8mo ago|2 comments
21.
by gauravvij137 8mo ago
This project implements Quantization-Aware Training (QAT) for MobileNetV2, enabling deployment on resource-constrained edge devices. Built autonomously by [NEO]( https://heyneo.so ), the system achieves exceptional model compressi
22.
by gauravvij137 8mo ago
Founder here. I built NEO, an AI agent designed specifically for AI and ML engineering workflows, after repeatedly hitting the same wall with existing tools: they work for short, linear tasks, but fall apart once workflows become long-runni
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Machine learning agent in VS Code IDE(marketplace.visualstudio.com)
3 points by gauravvij137 8mo ago|1 comments
24.
Show HN: First autonomous ML and AI engineering Agent(marketplace.visualstudio.com)
5 points by gauravvij137 9mo ago|0 comments
25.
by gauravvij137 1y ago
Did you miss reading the official leaderboard score on openai/mle-bench page where it clearly states that Neo has the best score on mlebench?
26.
Neo is leading the MLE Bench with 34.2% score(github.com)
1 points by gauravvij137 1y ago|1 comments
27.
by gauravvij137 1y ago
NEO is the first fully autonomous Machine Learning Engineer. It can reason, plan and iterate on complex data cleaning, feature engineering and model training tasks. Neo is now the SOTA Machine Learning Engineering agent on OpenAI's MLE
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Show HN: Heyneo.so – We built the first autonomous Machine Learning Engineer(heyneo.so)
6 points by gauravvij137 2y ago|1 comments
29.
by gauravvij137 2y ago
For sure, the request is going to a proprietary API for heavy lifting but the idea of this colab notebook is to extend the possibility of running 100s of experiments by calling out an API that handles the experiments as requested while the
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Finetune, Eval, Deploy 60 LLMs in a single Colab notebook(colab.research.google.com)
38 points by gauravvij137 2y ago|6 comments

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