Semigoso

Físico - amante de la programación, algoritmos de ML y de las increibles soluciones que se puede lograr con imaginación y ciencia.

[Quant Science @quantscience_]

This paper unlocks every algorithm used by hedge funds.

151 trading strategies.

Get it here (361 page PDF):

[Rahul @sairahul1]

This is the best site on the internet to learn harness engineering.

Free. Completely.

Most AI engineers have never heard the term.

https://t.co/bwDbTTYsjM

Bookmark this site.

Then read this setup ↓

[Movez @0xMovez]

Anthropic pays $750,000+ a year for engineers who can build LLM architectures from scratch.

This 2-hour Stanford lecture gives you the exact pipeline LLM engineers get paid $750K/year for.

Data + architecture + scaling laws + post-training.

Bookmark it & watch today. Then read article below.

[How To Prompt @HowToPrompt__]

The entire RAG industry is about to get cooked.

Researchers have built a new RAG approach that:

- does not need a vector DB.
- does not embed data.
- involves no chunking.
- performs no similarity search.

It's called PageIndex. Instead of chunking your docs and stuffing them into pinecone, it builds a tree index and lets the LLM reason through it like a human reading a book.

hit 98.7% on financebench. beats every vector RAG on the leaderboard.

no embeddings. no chunking. no vector DB.

100% open source.

[Rahul @sairahul1]

The creator of Claude Code teaches more about vibe-coding in 30 minutes than most tutorials do in hours.

Save this — it'll change how you build forever.

[Oscar Salas Morales @osalasmo]

Análisis pésimo. Acá te lo dejo bien detallado: adjunto el script que extrae los votos de cada una de las 196 provincias del Perú, su avance de cómputo y el proyectado por candidato, incluyendo el voto extranjero. Como puedes ver, incluso asignándole todos los votos del exterior, RLA no alcanza a Sánchez. Al 91.6% del cómputo, así cerrarían. No se postea por postear: se adjuntan metodología, data y evidencia. https://t.co/TcDuFi2uaq

[Pau Labarta Bajo @paulabartabajo_]

Looking for hands-on content on 𝗦𝗺𝗮𝗹𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹 𝗳𝗶𝗻𝗲 𝘁𝘂𝗻𝗶𝗻𝗴?

I got you covered 🎬 ↓↓↓

[Akshay 🚀 @akshay_pachaar]

A collection of 300+ MCP servers for AI Agents!

Awesome MCP Servers is a curated list of production-ready and experimental MCP servers to supercharge your AI models.

100% open-source.

[Daniel San @dani_avila7]

Claude 3.7 Sonnet is insane... just one prompt, and you get these animated cards in HTML, JS, and CSS.

You can try it for free in VSCode using the CodeGPT extension.

Sharing the prompt in this thread 👇

[Tom Dörr @tom_doerr]

FastAPI full-stack template with React, PostgreSQL, and Docker

[Tom Dörr @tom_doerr]

Online database design tool and SQL generator

[Daniel Han @danielhanchen]

We made 5 challenges and if you score 47 points we'll offer you $500K/year + equity to join us at 🦥@UnslothAI!

No experience or PhD needed.

$400K - $500K/yr: Founding Engineer (47 points)
$250K - $300K/yr: ML Engineer (32 points)

Challenges:
1. Convert nf4 / BnB 4bit to Triton
2. Make FSDP2 work with QLoRA
3. Remove graph breaks in torch.compile
4. Help solve Unsloth issues!
5. Memory Efficient Backprop

If you have any questions about the challenges, please feel free to ask! We're looking for people to help push Unsloth forward - so come join us to democratize AI further!

Our past work includes:
1. 1.58bit DeepSeek R1 GGUFs: https://t.co/gALGkUg5Cg
2. GRPO with Llama 3.1 8B in a Colab: https://t.co/LFdkNxwAYg
3. Gemma bug fixes: https://t.co/7kX94PyKQR
4. Gradient accumulation bug fixes: https://t.co/Tq4c5Qwqyw

Details & submission guide: https://t.co/iXxRUTijWV

[Kirk Borne @KirkDBorne]

#MachineLearning for Financial Risk Management with #Python — #Algorithms for Modeling Risk: https://t.co/oBePOF3nrh
—————
#AI #DataScience #ML #Finance #RiskManagement #DigitalTransformation #Fintech #Insurtech #PredictiveAnalytics

[ollama @ollama]

ollama run deepscaler

A fine-tuned version of Deepseek-R1-Distilled-Qwen-1.5B that surpasses the performance of OpenAI’s o1-preview with just 1.5B parameters on popular math evaluations.

[Sumanth @Sumanth_077]

Transform any document into LLM ready data in just a few lines of python code!

Compatible with macOS, Linux and Windows environments. Both x86_64 and arm64 architectures.

100% Open Source

[el.cine @EHuanglu]

new open source AI from China.

ByteDance just dropped Goku AI, it can generate videos, voice and even characters with realistic lipsync..

10 examples:

[Ben Burtenshaw @ben_burtenshaw]

The @huggingface agents course is finally out!

This first unit of the course sets you up with all the fundamentals to become a pro in agents.

- What's an AI Agent?
- What are LLMs?
- Understanding AI Agents through the Thought-Action-Observation Cycle
- Thought, Internal Reasoning and the Re-Act Approach
- Actions, Enabling the Agent to Engage with Its Environment
- Observe, Integrating Feedback to Reflect and Adapt

Check out the course and join in!

[Kirk Borne @KirkDBorne]

Practical #Statistics for #DataScientists — 50+ Essential Concepts Using R and #Python: https://t.co/4TRaP0qjAC
——————
#Analytics #DataScience #AI #MachineLearning #ML #Mathematics #StatisticalLiteracy #DataLiteracy #DataFluency #DataAnalytics #Rstats

[Paul Couvert @itsPaulAi]

Wow that's very impressive

Zonos is a 100% open source AI model that can clone any voice 🤯

You can basically run it anywhere as it's only 1.6B parameters.

Link below

[Julian Goldie SEO @JulianGoldieSEO]

NEW Google Gemini 2.0 + Cline 3.3 is INSANE (FREE!) 🤯