Deepseek R2: BEST Opensource Model Will Change the World! Cheap, Fast, & Coming Soon!

Updated: March 9, 2025

WorldofAI


Summary

Deep Seek's research team showcased their AI advancements during Open-Source Week by releasing five open-source repositories like Flat MLA and Deep Gem, aiming to enhance AI product development. They are working on the new Seek model tier as an upgrade from their previous model, Deep Seek R1, which had a notable impact on the equity market. Despite facing scrutiny, Deep Seek invested in Nvidia chips for cost-efficient AI model development, with the upcoming Deep R2 model expected to outperform other models in terms of performance.


Introduction to Open-Source Week Event

Deep Seek's research team has been hosting an event called Open-Source Week where they have released five open-source repositories sharing the progress on their AI advancements.

Flat MLA Decoding Kernel

Flat MLA is an efficient MLA decoding kernel for Hooper GPUs, which is GPU optimized.

Deep EP Communication Library

Deep EP is a communication library for models like.

Deep Gem Efficient Matrix Multiplications

Deep Gem is a library of efficient matrix multiplications using.

Development of AI Products

The tools aim to improve the development of AI products, making them scalable and efficient.

New Seek Model Tier Upgrade

The development of the new Seek model tier is an upgrade from the previous model.

Showcasing New Deep Seek Reasoning Model

The Open-Source Week is a way to showcase the new Deep Seek reasoning model with reports coming out weekly.

Importance of Deep Seek Reasoning Model

Reports highlight the importance of the Deep Seek reasoning model, putting it on par with many other models and technologies.

Anticipated Release of New Reasoning Model

There are reports on the anticipated release of the new reasoning model, expected to outperform many other models in terms of cost-efficiency and performance.

Deep Seek Team Focus

The Deep Seek team is focusing on coding, better reasoning, and expanding the model to more languages.

Impact of Deep Seek R1 Model

The previous model, Deep Seek R1, had a significant impact on the equity market and correlated with a dip in almost all equity markets.

Development with Nvidia Chips

Deep Seek's development using Nvidia chips disrupted the market and led to the creation of high-performance models at lower costs.

Focus on Cost-Efficiency

Deep Seek invested in infrastructure enabling cost-efficient development of AI, aiming to become the best model in the world.

Deep R2 Model Structure

The capabilities of the Deep R2 model's structure are discussed, aiming to surpass previous models in performance.

Scrutiny and Investment in Chips

Deep Seek faced scrutiny but managed to invest in chips critical for their model's development, even amidst restrictions on certain chips for export.


FAQ

Q: What are some of the open-source repositories released by Deep Seek's research team during Open-Source Week?

A: Flat MLA, Deep EP, and Deep Gem are some of the open-source repositories released by Deep Seek's research team during Open-Source Week.

Q: What is Flat MLA?

A: Flat MLA is an efficient MLA decoding kernel for Hooper GPUs, which has been GPU optimized.

Q: What is Deep EP?

A: Deep EP is a communication library for models like.

Q: What is Deep Gem?

A: Deep Gem is a library of efficient matrix multiplications.

Q: What are the goals of the tools released during Open-Source Week by Deep Seek's research team?

A: The tools aim to improve the development of AI products, making them scalable and efficient.

Q: How do reports highlight the importance of the Deep Seek reasoning model?

A: Reports highlight the importance of the Deep Seek reasoning model by putting it on par with many other models and technologies.

Q: What was the impact of the previous model, Deep Seek R1, on the equity market?

A: The previous model, Deep Seek R1, had a significant impact on the equity market and correlated with a dip in almost all equity markets.

Q: What disrupted the market according to the information in the file?

A: Deep Seek's development using Nvidia chips disrupted the market and led to the creation of high-performance models at lower costs.

Q: What capabilities of the Deep R2 model's structure are discussed in the file?

A: The capabilities of the Deep R2 model's structure are discussed, aiming to surpass previous models in performance.

Q: How did Deep Seek invest in infrastructure for the development of AI?

A: Deep Seek invested in infrastructure enabling cost-efficient development of AI, aiming to become the best model in the world.

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