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TechNeura

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My profile: kargarisaac.com

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401 subscribers

https://huggingface.co/blog/hf-skills-training

We Got Claude to Fine-Tune an Open Source LLM

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

21 views18:39

https://research.google/blog/titans-miras-helping-ai-have-long-term-memory/

research.google

Titans + MIRAS: Helping AI have long-term memory

26 views04:17

https://x.com/antigravity/status/1996754861149602053?s=52

X (formerly Twitter)

Google Antigravity (@antigravity) on X

(1/3) Google AI Pro and Ultra users now receive priority access, featuring our highest, most generous rate limits with quotas that refresh every five hours.

27 views04:20

https://cookbook.openai.com/examples/gpt-5/gpt-5-1-codex-max_prompting_guide

GPT-5.1-Codex-Max Prompting Guide | OpenAI Cookbook

GPT-5.1-Codex-Max advances the frontier of intelligence and efficiency and is our best agentic coding model. Follow this guide closely to...

27 views12:57

https://www.youtube.com/watch?v=iDhzzugMOLA
Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | Autonomous Agents by Peter Stone - YouTube

Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | Autonomous Agents by Peter Stone

Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

27 views16:11

https://x.com/_reachsumit/status/1996781844386422933?s=52

X (formerly Twitter)

Sumit (@_reachsumit) on X

Measuring Agents in Production

@melissapan et al. investigate how AI agents are built and deployed across 26 industries, finding that 73% aim to boost productivity through automation while relying on simple, controllable methods over complex autonomy.

📝…

23 views20:05

https://x.com/omarsar0/status/1996980037161996691?s=52

X (formerly Twitter)

elvis (@omarsar0) on X

Agentic Context Engineering

The code for the paper is finally out!

I had built an implementation for this (not exactly the same) that already boosted performance for my agents.

Evolving context for AI agents is a great idea.

Official implementation out…

21 views20:10

https://x.com/anthropicai/status/1996974684995289416?s=52

X (formerly Twitter)

Anthropic (@AnthropicAI) on X

In her first Ask Me Anything, @amandaaskell answers your philosophical questions about AI, discussing morality, identity, consciousness, and more.

Timestamps:
0:00 Introduction
0:29 Why is there a philosopher at an AI company?
1:24 Are philosophers taking…

21 views20:13

https://x.com/_philschmid/status/1997227157748060277?s=52

X (formerly Twitter)

Philipp Schmid (@_philschmid) on X

What comes after Transformers? Neural Memory and Test-Time Training! @GoogleResearch presented 2 new papers during NeurIPS with an architecture that actively learns and update their own parameters during inference, acting as a "long-term neural memory" rather…

16 views12:04

https://x.com/burkov/status/1996682194031726784?s=52

X (formerly Twitter)

BURKOV (@burkov) on X

NeurIPS 2025 Best Paper Award:

Attention lets language models decide which tokens matter at each position, but it has limitations—for example, a tendency to over-focus on early tokens regardless of their relevance.

Gating mechanisms, which selectively suppress…

18 views13:34

https://x.com/melissapan/status/1996975916971626763?s=52

X (formerly Twitter)

Melissa Pan @ NeurIPS (@melissapan) on X

Thrilled to release our new paper MAP: Measuring Agents in Production ⚙️🚀

2025 is the year of agents… but do they actually work in the real world? Is it just hype?

A group of 25 researchers from Berkeley, Stanford, UIUC, IBM, and Intesa Sanpaolo investigated…

18 views13:40

https://simchowitzlabpublic.github.io/much-ado-about-noising-project/

simchowitzlabpublic.github.io

Much Ado About Noising: Dispelling the Myths of Generative Robotic Control

Iterative computation with supervised steps and proper stochasticity is what drives gains in generative control policy, not multi-modality; a 2-step minimal iterative policy matches flow models.

16 views15:38

https://x.com/lerobothf/status/1996563772819865600?s=52

X (formerly Twitter)

LeRobot (@LeRobotHF) on X

🚀 Introducing X-VLA ; LeRobot’s new soft-prompted Vision-Language-Action model.

X-VLA is built to scale across many embodiments: different robots, cameras, action spaces, and environments, all handled by one unified transformer backbone.

- Generalist across…

16 views16:36

https://rocm.blogs.amd.com/artificial-intelligence/vlm-finetune-rocm/README.html

VLM Fine-Tuning for Robotics on AMD Enterprise AI Suite

Fine-tune OpenCLIP with Bridge Data V2 on ROCm to enable robotics related fine-tuning

15 views17:04

https://arxiv.org/pdf/2512.01374

11 views20:30

https://arxiv.org/pdf/2512.01374

12 views20:30

https://x.com/mengto/status/1996986766591680883?s=52

X (formerly Twitter)

Meng To (@MengTo) on X

I recorded a 50-min tutorial on prompting top-tier landing pages with Gemini 3

11 views20:32

https://x.com/yiconghong/status/1996712921494401322?s=52

X (formerly Twitter)

Yicong Hong (@YicongHong) on X

Introducing RELIC World Model — real-time, interactive video generation with long-horizon spatial memory.
https://t.co/IcqhIWMwbU

11 views21:12

https://x.com/_xjdr/status/1997459906719547535
xjdr on X: "# Why Training MoEs is So Hard recently, i have found myself wanting a small, research focused training repo that i can do small experiments on quickly and easily. these experiments range from trying out new attention architectures (MLA, SWA, NSA, KDA - all pluggable) to https://t.co/lZMmaAWMT6" / X

4 views08:30

https://github.com/upstash/context7
upstash/context7: Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors

GitHub - upstash/context7: Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors

Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors - upstash/context7

4 views08:31