Загрузка видео...

Не удалось загрузить видео

На главную

The harness can make a difference in AI for CAD. Below: same LLM (Opus 4.8) with different harnesses. Looking forward to see more progress without waiting for a new LLM version :) (Good job Paul Fremantle)

MikushRab's profile picture

Michael Rabinovich

1,649 subscribers

42,093 просмотров • 2 месяцев назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

NEW: AI & CAD MecAgent’s fine-tuned LLM for CAD generates a parametric piston assembly in SolidWorks from natural language prompts.
0:27

NEW: AI & CAD MecAgent’s fine-tuned LLM for CAD generates a parametric piston assembly in SolidWorks from natural language prompts.

MecAgent

13,148 просмотров • 3 месяцев назад

Finally found a meaningful scenario for running LLM in the browser, peering into the internals of LLM to see what's really happening inside
0:20

Finally found a meaningful scenario for running LLM in the browser, peering into the internals of LLM to see what's really happening inside

Broooooklyn

46,339 просмотров • 3 месяцев назад

He is a 1st year AI engineering student at Stanford - and already launched an automated system making $2.1M a year: 00:20 - how Anthropic engineers make millions with LLM and Transformers 38:34 - In-Context Learning makes AI smarter for free 59:47 - 1st year student made $2.1M using LLM from scratch after watching I gave LLM the idea I had been holding in my head for 3 years - it built it in one evening. save & watch - the article below is a step by step guide to build your automated LLM system.
1:16:48

He is a 1st year AI engineering student at Stanford - and already launched an automated system making $2.1M a year: 00:20 - how Anthropic engineers make millions with LLM and Transformers 38:34 - In-Context Learning makes AI smarter for free 59:47 - 1st year student made $2.1M using LLM from scratch after watching I gave LLM the idea I had been holding in my head for 3 years - it built it in one evening. save & watch - the article below is a step by step guide to build your automated LLM system.

Noisy

42,621 просмотров • 1 месяц назад

Here's an update on the Limitless pendant! I'm super excited about our new "Copy for LLM" feature which adds essential context specifically for your favorite LLM (ChatGPT, Claude). No more walled gardens! Also: get a 50% discount that expires in 15 days below!
3:03

Here's an update on the Limitless pendant! I'm super excited about our new "Copy for LLM" feature which adds essential context specifically for your favorite LLM (ChatGPT, Claude). No more walled gardens! Also: get a 50% discount that expires in 15 days below!

Dan Siroker

47,146 просмотров • 1 год назад

🌟 Can you imagine aligning your AI model 🤖 on the fly, without updating its core parameters so much that it becomes unsuitable for others with different preferences? 🚀 Introducing "Transfer Q Star: Principled Decoding for #LLM #Alignment" 🔗: A 🧵👇
0:24

🌟 Can you imagine aligning your AI model 🤖 on the fly, without updating its core parameters so much that it becomes unsuitable for others with different preferences? 🚀 Introducing "Transfer Q Star: Principled Decoding for #LLM #Alignment" 🔗: A 🧵👇

Furong Huang

50,587 просмотров • 2 лет назад

Had a great conversation with Yoshua Bengio. Both of us agreed that a good step forward for AI risk is to articulate the concrete scenarios where AI can lead to significant harm. More to come, and looking forward to continuing the conversation!
0:48

Had a great conversation with Yoshua Bengio. Both of us agreed that a good step forward for AI risk is to articulate the concrete scenarios where AI can lead to significant harm. More to come, and looking forward to continuing the conversation!

Andrew Ng

430,117 просмотров • 3 лет назад

DUCK AI is one of the most intriguing projects in the AI space right now they are a decentralized swarms network for LLM and Trading Agents full interview with the founder 0xglu below!!
29:08

DUCK AI is one of the most intriguing projects in the AI space right now they are a decentralized swarms network for LLM and Trading Agents full interview with the founder 0xglu below!!

rasmr

15,679 просмотров • 1 год назад

Generative video models are rapidly improving in quality. Meet Replay, a new AI model that can generate stunning videos from text. Replay v0.1 is designed to create ultrasmooth HD videos with a new interface. Available today for everyone. What's New? 1. Replay understands plain English prompts without prompt engineering. Try "rugged surfer" or "mermaid". 2. What's a movie without actors? Replay can crisply render close-ups of people and animals. 3. Free and fast generation from our homepage with no waiting list (link in bio). Behind the scenes, Replay is powered by aligning our new diffusion model for videos with the LLM behind Genmo Chat. We’re so excited to see what you create! Share your creations below👇
0:31

Generative video models are rapidly improving in quality. Meet Replay, a new AI model that can generate stunning videos from text. Replay v0.1 is designed to create ultrasmooth HD videos with a new interface. Available today for everyone. What's New? 1. Replay understands plain English prompts without prompt engineering. Try "rugged surfer" or "mermaid". 2. What's a movie without actors? Replay can crisply render close-ups of people and animals. 3. Free and fast generation from our homepage with no waiting list (link in bio). Behind the scenes, Replay is powered by aligning our new diffusion model for videos with the LLM behind Genmo Chat. We’re so excited to see what you create! Share your creations below👇

Genmo

154,628 просмотров • 2 лет назад

Today we're launching a new way to build apps in AI Studio! 🚀 - Build directly in AI Studio and leverage Gemini without a key, for free! - Browse new sample apps that you can remix and make your own - Share with friends Check out the open source apps below, more to come!
0:30

Today we're launching a new way to build apps in AI Studio! 🚀 - Build directly in AI Studio and leverage Gemini without a key, for free! - Browse new sample apps that you can remix and make your own - Share with friends Check out the open source apps below, more to come!

Ammaar Reshi

60,683 просмотров • 1 год назад

Now we upgrade website 🎉 - Add Type M.A.G.I.C Details ... - Add calculators for Type-C Model viewer will integrate to new version form (WIP), some AI LLM RAG based (HELP CENTER) and some fun things msg bot Work in Progress. Real thanks for your focs !
0:33

Now we upgrade website 🎉 - Add Type M.A.G.I.C Details ... - Add calculators for Type-C Model viewer will integrate to new version form (WIP), some AI LLM RAG based (HELP CENTER) and some fun things msg bot Work in Progress. Real thanks for your focs !

Remi IO 🦇 [email protected]

29,617 просмотров • 2 лет назад

The founder of LangChain says both models and harnesses have gotten really good between December and now. According to Harrison Chase, the core idea of an agent before Christmas was a model running in a loop and calling tools. This had been the north star for 3 years. - langchain had this when it launched - autogpt was the same idea - openclaw is kind of a future version of it Then about a year ago, they started getting really good. Claude Code, Manus, and Deep Research were all launched around the same time. All of them use the same pattern: running in a loop with harnesses (planning tools, file systems, code execution, etc) Harness engineering became a thing. Then Opus came out in November and really unlocked it. - the harness let the model do more and more - less hardcoded logic - way more control Then everyone went on vacation, played around, and realized that the model and the harness finally worked reliably.
2:10

The founder of LangChain says both models and harnesses have gotten really good between December and now. According to Harrison Chase, the core idea of an agent before Christmas was a model running in a loop and calling tools. This had been the north star for 3 years. - langchain had this when it launched - autogpt was the same idea - openclaw is kind of a future version of it Then about a year ago, they started getting really good. Claude Code, Manus, and Deep Research were all launched around the same time. All of them use the same pattern: running in a loop with harnesses (planning tools, file systems, code execution, etc) Harness engineering became a thing. Then Opus came out in November and really unlocked it. - the harness let the model do more and more - less hardcoded logic - way more control Then everyone went on vacation, played around, and realized that the model and the harness finally worked reliably.

Ivan Burazin

33,948 просмотров • 4 месяцев назад

Ex-Google engineer reveals how to build AI agent loops, harnesses, LLM ops, and evals in 19 minutes. Trace → evaluate → diagnose → fix → ship → repeat. That loop is how agents self-improve over time. Agentic loops + harness + memory + evals - that’s the senior engineer stack. This is better than $500 paid courses on the same topic, explained in under 20 minutes. Watch it, then save the framework below.
20:10

Ex-Google engineer reveals how to build AI agent loops, harnesses, LLM ops, and evals in 19 minutes. Trace → evaluate → diagnose → fix → ship → repeat. That loop is how agents self-improve over time. Agentic loops + harness + memory + evals - that’s the senior engineer stack. This is better than $500 paid courses on the same topic, explained in under 20 minutes. Watch it, then save the framework below.

Codez

172,263 просмотров • 2 месяцев назад

you can start using opus 4.8 and other leading AI models COMPLETELY FREE. no subscription. no API credits. 100% legit. amazon is giving eligible new AWS accounts up to $200 in credits. which can be used to access models through AWS services. with it, you can explore models such as: > anthropic's claude family, including opus 4.8 and earlier generations > google's gemma series > minimax 2.5, 2.2, and 2 > deepseek v3.2 and r1 and many more. if you've been looking for a way to experiment with frontier AI models without spending your own money, this is one of the easiest places to start. the setup only takes a few minutes, and the credits can go a surprisingly long way if you're learning, building side projects, or testing ideas.
2:01

you can start using opus 4.8 and other leading AI models COMPLETELY FREE. no subscription. no API credits. 100% legit. amazon is giving eligible new AWS accounts up to $200 in credits. which can be used to access models through AWS services. with it, you can explore models such as: > anthropic's claude family, including opus 4.8 and earlier generations > google's gemma series > minimax 2.5, 2.2, and 2 > deepseek v3.2 and r1 and many more. if you've been looking for a way to experiment with frontier AI models without spending your own money, this is one of the easiest places to start. the setup only takes a few minutes, and the credits can go a surprisingly long way if you're learning, building side projects, or testing ideas.

m0h

11,242 просмотров • 2 месяцев назад

> do you understand what Claude Opus 4.8 just did to the Google job market > a senior Google engineer with 11 years of experience > stacked 32 Claude skills on top of his workflow > 8hrs → 2-3hrs per day > $95K developer vs $300K AI architect > same job. different stack. very different salary > the exact skill list is here 👇
0:28

> do you understand what Claude Opus 4.8 just did to the Google job market > a senior Google engineer with 11 years of experience > stacked 32 Claude skills on top of his workflow > 8hrs → 2-3hrs per day > $95K developer vs $300K AI architect > same job. different stack. very different salary > the exact skill list is here 👇

Mr. Buzzoni

287,675 просмотров • 3 месяцев назад

can you chat privately with a cloud llm—*without* sacrificing speed? excited to release minions secure chat: an open-source protocol for end-to-end encrypted llm chat with <1% latency overhead (even @ 30B+ params!). cloud providers can’t peek—messages decrypt only inside a secure gpu enclave, where inference stays fully confidential 🤯 links + code in comments👇
0:42

can you chat privately with a cloud llm—*without* sacrificing speed? excited to release minions secure chat: an open-source protocol for end-to-end encrypted llm chat with <1% latency overhead (even @ 30B+ params!). cloud providers can’t peek—messages decrypt only inside a secure gpu enclave, where inference stays fully confidential 🤯 links + code in comments👇

Avanika Narayan

79,368 просмотров • 1 год назад

Still looking for a new year's Resolution? Sign up to volunteer and make a real difference in your community. Join thousands of Canadians across the country focused on keeping Canada moving forward:
1:12

Still looking for a new year's Resolution? Sign up to volunteer and make a real difference in your community. Join thousands of Canadians across the country focused on keeping Canada moving forward:

Liberal Party

206,530 просмотров • 3 лет назад