JManu3lCS's profile picture. AI enthusiast

Manuel

@JManu3lCS

AI enthusiast

Manuel reposted

Introducing the arXiv global dashboard 🚀 We've mapped the world’s AI research landscape according to arXiv papers Compare USA and China's presence in open science 🔍


Manuel reposted

Host your own LLM server for free using #Kaggle notebooks and Ollama. 💻 AI GDE Dimitre Oliveira shows you how to simplify deployment and enable remote access for your models. Read the guide → goo.gle/3J5Q0oD Watch the video → goo.gle/4ndHGRG


Manuel reposted

I quite like the new DeepSeek-OCR paper. It's a good OCR model (maybe a bit worse than dots), and yes data collection etc., but anyway it doesn't matter. The more interesting part for me (esp as a computer vision at heart who is temporarily masquerading as a natural language…

🚀 DeepSeek-OCR — the new frontier of OCR from @deepseek_ai , exploring optical context compression for LLMs, is running blazingly fast on vLLM ⚡ (~2500 tokens/s on A100-40G) — powered by vllm==0.8.5 for day-0 model support. 🧠 Compresses visual contexts up to 20× while keeping…

vllm_project's tweet image. 🚀 DeepSeek-OCR — the new frontier of OCR from @deepseek_ai , exploring optical context compression for LLMs, is running blazingly fast on vLLM ⚡ (~2500 tokens/s on A100-40G) — powered by vllm==0.8.5 for day-0 model support.

🧠 Compresses visual contexts up to 20× while keeping…
vllm_project's tweet image. 🚀 DeepSeek-OCR — the new frontier of OCR from @deepseek_ai , exploring optical context compression for LLMs, is running blazingly fast on vLLM ⚡ (~2500 tokens/s on A100-40G) — powered by vllm==0.8.5 for day-0 model support.

🧠 Compresses visual contexts up to 20× while keeping…
vllm_project's tweet image. 🚀 DeepSeek-OCR — the new frontier of OCR from @deepseek_ai , exploring optical context compression for LLMs, is running blazingly fast on vLLM ⚡ (~2500 tokens/s on A100-40G) — powered by vllm==0.8.5 for day-0 model support.

🧠 Compresses visual contexts up to 20× while keeping…


Manuel reposted

Announcing my new course: Agentic AI! Building AI agents is one of the most in-demand skills in the job market. This course, available now at deeplearning.ai, teaches you how. You'll learn to implement four key agentic design patterns: - Reflection, in which an agent…


Manuel reposted

Your RAG system is probably broken. Here's how to fix it in 2025. (𝗔𝗹𝗺𝗼𝘀𝘁!) 𝗘𝘃𝗲𝗿𝘆 𝗔𝗜 𝘁𝗲𝗮𝗺 𝗵𝗮𝘀 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺: their RAG retrieves irrelevant chunks, hallucinates answers, and performs worse than expected. Here’s how to fix it: 𝗦𝘁𝗼𝗽…

weaviate_io's tweet image. Your RAG system is probably broken.

Here's how to fix it in 2025.

(𝗔𝗹𝗺𝗼𝘀𝘁!) 𝗘𝘃𝗲𝗿𝘆 𝗔𝗜 𝘁𝗲𝗮𝗺 𝗵𝗮𝘀 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺: their RAG retrieves irrelevant chunks, hallucinates answers, and performs worse than expected.

Here’s how to fix it:
𝗦𝘁𝗼𝗽…

Manuel reposted

Here's a counterintuitive truth about vector search: Skipping most of your data actually makes you faster and more accurate. HNSW (Hierarchical Navigable Small World) is the algorithm behind some of the fastest vector searches you've ever experienced. If you've used Weaviate or…

weaviate_io's tweet image. Here's a counterintuitive truth about vector search:

Skipping most of your data actually makes you faster and more accurate.

HNSW (Hierarchical Navigable Small World) is the algorithm behind some of the fastest vector searches you've ever experienced. If you've used Weaviate or…

Manuel reposted

Introducing Agent Workflows. A visual editor for designing conversation flows in Agents Platform. Instead of building all of your business logic in a single agent, Workflows enable you to handle more complex scenarios by routing to specialized Subagents.


Manuel reposted

I created a million-dollar Pixar-quality short in just 8 days using AI. Workflow: nano banana + midjourney + seedance + kling 2.5 + Suno + Elevenlabs I also tested Sora 2…and the results were surprising (see below) Excited to finally share this! 🧵


Manuel reposted

this might be the coolest blogpost I ever written I dove deep into: - player detection with RF-DETR - player tracking with SAM2 - team clustering with SigLIP and K-means - number recognition with SmolVLM2 and ResNet I hope you'll like it link: blog.roboflow.com/identify-baske…


Manuel reposted

🎙️ New Feature Alert! Qwen Chat now reads responses aloud — powered by Qwen3-TTS. 👉 On Web, iOS, or Android: Tap the speaker icon 🔊 below any response. ⚙️ In Settings > General > Voice, pick your favorite voice (like “Cherry”!). Listen. Don’t just read. 🎧


Manuel reposted

Today we describe how we leverage AlphaEvolve, a @GoogleDeepMind system for iteratively evolving code, to morph snippets of code towards better proof elements in complexity theory that can be automatically verified by a computer program. Read more at: goo.gle/3IR6vEN

GoogleResearch's tweet image. Today we describe how we leverage AlphaEvolve, a @GoogleDeepMind system for iteratively evolving code, to morph snippets of code towards better proof elements in complexity theory that can be automatically verified by a computer program. Read more at: goo.gle/3IR6vEN

Manuel reposted

What if we could predict tropical cyclones with more accuracy up to 15 days in advance? Our new experimental AI model, Weather Lab, developed with @GoogleDeepmind, makes predictions on-par or better than current physics-based methods.


Manuel reposted

Sound on.


Manuel reposted

Sharing our second Connectionism research post on Modular Manifolds, a mathematical approach to refining training at each layer of the neural network

Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices.…

thinkymachines's tweet image. Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices.…


Manuel reposted

¡Qué joya de herramienta para devs y diseñadores! Genera una paleta de colores super fácil en segundos. Exporta para CSS, Figma y Tailwind → kigen.design/color


Manuel reposted

I finally solved player recognition - player and number detection with RF-DETR - player tracking with SAM2 - team clustering with SigLIP, UMAP and KMeans - number recognition with SmolVLM2 stay tuned for YT tutorial: youtube.com/c/Roboflow ↓ full breakdown + code


Manuel reposted

🔴 ¡LUMA LABS PRESENTA RAY 3! Y joer, se ve bárbaro! 👀 Acaban de presentar una nueva generación de su modelo de vídeo, que además de una calidad visual mejorada, incluya unas cuantas mejoras muy interesantes a comentar. Os voy detallando en un hilo 🧵👇

From Luma AI

Manuel reposted

🚨 Apple working on MCP support to enable agentic AI on Mac, iPhone, and iPad 9to5mac.com/2025/09/22/mac…


Manuel reposted

xAI has released Grok 4 Fast - breaking through our intelligence vs cost frontier by achieving Gemini 2.5 Pro level intelligence at a ~25X cheaper cost Intelligence: @xai shared with us pre-release access to Grok 4 Fast. In reasoning mode, the model scores an impressive 60 on…

ArtificialAnlys's tweet image. xAI has released Grok 4 Fast - breaking through our intelligence vs cost frontier by achieving Gemini 2.5 Pro level intelligence at a ~25X cheaper cost

Intelligence: @xai shared with us pre-release access to Grok 4 Fast. In reasoning mode, the model scores an impressive 60 on…
ArtificialAnlys's tweet image. xAI has released Grok 4 Fast - breaking through our intelligence vs cost frontier by achieving Gemini 2.5 Pro level intelligence at a ~25X cheaper cost

Intelligence: @xai shared with us pre-release access to Grok 4 Fast. In reasoning mode, the model scores an impressive 60 on…

Manuel reposted

Finally get that picture together. With Nano Banana, you can merge photos, and tell it the exact pose and aesthetic you want.


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