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Eric Vyacheslav

Eric Vyacheslav

These are the best posts from Eric Vyacheslav.

30 viral posts with 112,901 likes, 3,954 comments, and 8,238 shares.
8 image posts, 0 carousel posts, 22 video posts, 0 text posts.

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Best Posts by Eric Vyacheslav on LinkedIn

Stanford just uploaded their new “Building LLMS“ lecture. It's a must watch.

“This lecture provides a concise overview of building a ChatGPT-like model, covering both pretraining (language modeling) and post-training (SFT/RLHF).

For each component, it explores common practices in data collection, algorithms, and evaluation methods.“

https://lnkd.in/ePZEaZMW
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Post image by Eric Vyacheslav
Yann is brilliant. Can he just be the president of AI already?

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🤯 AI generated music is getting wild. This is Frank Sinatra singing “Gangsta Paradise. Will it change the industry?
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Runway just introduced the Multi Motion Brush for Gen-2 so you can apply different animations to several elements in static images.

Check it out: http://runwayml.com
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Robotics is about to massively change. The algorithm developed by DeepSeek can teach robots to learn like humans.

Traditional robotics relies on simple, fixed rewards. These don’t scale to complex tasks and robots struggle to adapt.

GRPO (Group Relative Policy Optimization) changes that. Instead of static rewards, it evaluates multiple outputs and assigns relative rewards. The result? Scalable, adaptive learning.

Robots can refine their skills like humans—by comparing experiences and improving step by step.

GRPO was a huge breakthrough in RL for LLMs, but it could also make a big difference for robotics.

Source: https://lnkd.in/gXQFhBHE
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Watch out. Cursor engineers are coming for our jobs.

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Post image by Eric Vyacheslav
Physics-based simulation of locomotion for a bipedal creature driven by 3D muscle-based control.
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The synthesized controllers can locomote in real-time at a range of speeds, be steered to a target heading, and can traverse variable terrain. No motion capture or keyframe animation was used in any of the results.
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#ml #computervision #machinelearning #ai #deeplearning #neuralnetworks #nlp #cv #robotics
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gpt-6 will have the intelligence of someone who decided not to get a PhD.


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Post image by Eric Vyacheslav
Building AI agents just became 10x easier. Postman's new AI Agent Builder lets you find, integrate, and manage APIs without any complexity.

Instead of manually wiring APIs together and debugging messy integrations, you can:

✅ Instantly find and integrate 100K+ apis from 18K companies
✅ Visually build agentic workflows—no code needed
✅ Test locally before deploying, no infrastructure headaches
✅ Evaluate different LLM responses from all the leading models

Learn more here: https://fnf.dev/4jE6iCn
How software testing works
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This deep learning model by Ubisoft for in-game character animation allows developers to automatically generate natural character movements reducing time costs: https://lnkd.in/e5fX4Myi
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Can you believe DeepSeek is just a side project? The founder is incredible:

1. Studied electrical engineering
2. Teamed up with brilliant classmates
3. Got into quant trading
4. Founded a quant firm in his 30s
5. Generated ÂĽ100B using AI/ML in trading
6. Bought thousands of NVIDIA GPUs
7. Built DeepSeek—as a side project!

Wow.
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Post image by Eric Vyacheslav
Amazing news 🔥 The famous Stanford Smallville is now open-source! It's among the most inspiring AI agent experiments in 2023. 25 Generative AI agents inhabit a digital Westworld, unaware that they are living in a simulation.

They go to work, gossip, organize socials, make new friends, and even fall in love. Each has unique personality and backstory.

Github: https://lnkd.in/g5SGUFqf
Paper: https://lnkd.in/g-zyqVHF
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Post image by Eric Vyacheslav
This Jupyter extension is a a must. Stickyland is an open-source tool that allows you to drag-and-drop any cells in your notebook and create an interactive dashboard.
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The best demonstration of CPU vs GPU I have ever seen. This is genius marketing from NVIDIA.

♻️ Repost this if you found it useful.
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Incredible. Screenshot-to-code is going to change everything. This new GitHub repo can turn your website screenshots to a front AND back-end.

Code: https://lnkd.in/evEWcN8X
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CPU vs FPGA. An easy and well explanation in 25 seconds.

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Amazing Python library: PyOD. Use it to detect anomalies in multivariate data.

Works whether you’re tackling a small-scale project or large datasets.

- Unified, User-Friendly Interface across various algorithms.
- Wide Range of Models
- High Performance & Efficiency
- Fast Training & Prediction

!pip install pyod
https://lnkd.in/eC5Ek9_V
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Post image by Eric Vyacheslav
The new Midjourney v5.2 is incredible.
They have a new feature that allows you to “Zoom Out“ of any photo.
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Yesterday, Neuralink announced they can restore vision even if you were born blind. Elon also mentioned human trials are expected within 6 months!
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This is insane. Simulon can add any 3D model to your real footage video in a matter of minutes.
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Adobe just introduced VideoGigaGAN. It can upscale videos 8x with incredible sharpness and almost no quality loss.

VideoGigaGAN is able to:

• Retain sharp details
• Ensure smooth transitions
• Upsample a video up to 8x (128×128→1024×1024)
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You can now turn text into complete 3D worlds in SECONDS with Opus' new AI platform. Get early access: https://opus.ai/Create
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Reinforcement Learning in one video.
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#deeplearning #machinelearning #neuralnetworks #nlp #robotics #ai #datascience
Incredible 🤯 AI Voices will never be the same again. PlayHT2.0 seems can carry a conversation just like a human, use filler words, and express emotions – all in real-time.
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Chinese startup 01.ai has stunned the AI community by training a state-of-the-art LLM with just 2,000 GPUs and $3 million.

This stands in contrast to OpenAI’s estimated $80-100 million spent on GPT-4, showcasing the power of innovation over brute force.

Kai-Fu Lee, the founder of 01.ai, stated, “The thing that shocks my friends in Silicon Valley is not just our performance, but that we trained the model with only $3 million.”

By turning computational problems into memory-focused tasks, they have built a multi-layer caching system and designed a specialized inference engine. This approach allowed them to optimize GPU usage and drastically lower inference costs.

Their model Yi-Lightning ranks 6th in performance in LMSYS 'Overall' benchmark.

It's clear that the future of AI lies in smart engineering rather than just scaling & spending power.

Checkout their public models at https://lnkd.in/g6NPS4FN
Chatbot Arena: https://lmarena.ai

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Post image by Eric Vyacheslav
Incredible 🤯 A team of AI engineers just developed the fastest GPT4 audio pipeline on the planet. Here's how they did it:

1. Voice recording is streamed and transcribed in real-time
2. As soon as you stop, we send the transcript to GPT4
3. GPT4 streams the response back, token by token
4. Once there is a somewhat complete sentence, we send the first text chunk to a text-to-speech server
5. Server streams synthetic voice back and we play it back as the bytes arrive
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From: Florian Juengermann
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“OpenAI huh? $500B? Gimme 2 weeks and $5 million and I’ll clone it asap” - DeepSeek’s CTO
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Post image by Eric Vyacheslav
It's over for product photographers.
AI can now create professional product images for free.
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RIP TikTokers. Animate Anyone can take a single image of any person and generate dance video.
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