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elvis Profile picture
@omarsar0
Dec 5, 2018 • 9 tweets • 3 min read • Read on X
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A simple method for fair comparison? #NeurIPS2018 Image
Considerations: Image
Reproducibility checklist: Image
There is room for variability, especially when using different distributed systems: Image
Complexity of the world is discarded... We need to tackle RL in the natural world through more complex simulations. Image
Embedding natural background? Image
Set the bar higher for the naturalism of the environment: Image
You learn a lot by considering this idea of stepping out in the real world: Image
Reproducibility test: Image

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More from @omarsar0

elvis Profile picture
Feb 27
Say goodbye to Chain-of-Thought.

Say hello to Chain-of-Draft.

To address the issue of latency in reasoning LLMs, this work introduces Chain-of-Draft (CoD).

Read on for more: Image
What is it about?

CoD is a new prompting strategy that drastically cuts down verbose intermediate reasoning while preserving strong performance. Image
Minimalist intermediate drafts

Instead of long step-by-step CoT outputs, CoD asks the model to generate concise, dense-information tokens for each reasoning step.

This yields up to 80% fewer tokens per response yet maintains accuracy on math, commonsense, and other benchmarks. Image
Read 7 tweets
elvis Profile picture
Feb 20
NEW: Sakana AI introduces The AI CUDA Engineer.

It's an end-to-end agentic system that can produce highly optimized CUDA kernels.

This is wild! They used AI to discover ways to make AI run faster!

Let's break it down: Image
The Backstory

Sakana AI's mission is to build more advanced and efficient AI using AI.

Their previous work includes The AI Scientist, LLMs that produce more efficient methods to train LLMs, and automation of new AI foundation models.

And now they just launched The AI CUDA Engineer.Image
Why is this research a big deal?

Writing efficient CUDA kernels is challenging for humans.

The AI CUDA Engineer is an end-to-end agent built with the capabilities to automatically produce and optimize CUDA kernels more effectively. Image
Read 14 tweets
elvis Profile picture
Feb 19
NEW: Google introduces AI co-scientist.

It's a multi-agent AI system built with Gemini 2.0 to help accelerate scientific breakthroughs.

2025 is truly the year of multi-agents!

Let's break it down: Image
What's the goal of this AI co-scientist?

It can serve as a "virtual scientific collaborator to help scientists generate novel hypotheses and research proposals, and to accelerate the clock speed of scientific and biomedical discoveries." Image
How is it built?

It uses a coalition of specialized agents inspired by the scientific method.

It can generate, evaluate, and refine hypotheses.

It also has self-improving capabilities.
Read 11 tweets
elvis Profile picture
Feb 18
BREAKING: xAI announces Grok 3

Here is everything you need to know: Image
Elon mentioned that Grok 3 is an order of magnitude more capable than Grok 2. Image
Total GPUs: 200K

The capacity was doubled in 92 days!

All of this compute was used to improve Grok -- which has lead to Grok 3. Image
Read 23 tweets
elvis Profile picture
Feb 15
Introducing... Agent Leaderboard!

Many devs ask me which LLMs work best for AI agents.

The new Agent Leaderboard (by @rungalileo) was built to provide insights and evaluate LLMs on real-world tool-calling tasks—crucial for building AI agents.

Let's go over the results: Image
1️⃣ Leader

After evaluating 17 leading LLMs across 14 diverse datasets, here are the key findings:

Google's 𝗚𝗲𝗺𝗶𝗻𝗶-𝟮.𝟬-𝗳𝗹𝗮𝘀𝗵 leads with a 0.94 score at a remarkably low cost.
2️⃣ Pricing

The top 3 models span a 10x price difference with only 4% performance gap. Many of you might be overpaying.
Read 8 tweets
elvis Profile picture
Jan 23
OpenAI Introduces Operator & Agents!

Here is everything you need to know: Image
Operator is a system that can use a web browser to accomplish tasks.

Operator can look at a webpage and interact with it by typing, clicking, and scrolling.

It's available as a research preview. Available in the US for Pro users. Available to Plus users later.
Operator can perform a wide variety of repetitive browser tasks such as filling out forms, ordering groceries, and even creating memes.
Read 16 tweets

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