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Trump & JD Vance’s shameful attack on Zelensky in the Oval Office is a disgrace. Bullying a wartime leader fighting for freedom while cozying up to Putin? This is not America’s finest hour—Dems stand with Ukraine, not dictators!

BREAKING: Grok 3 from xAI is here, and it’s a game-changer! Trained on 100K NVIDIA GPUs, it boasts 10x the compute power of its predecessor. Enhanced reasoning, self-correction, and DeepSearch capabilities shatter AI benchmarks. The future is now! #Grok3 #xAI

Sadie Sink, the *Stranger Things* star, has roots tracing back to the ancient Cypress Islands near the Roman Empire, a region famed as the mythical birthplace of Venus, the goddess of beauty.

Wall Street continues to grapple with the implications of AI's concentration in the hands of a few, the narrative of the "AI Mafia" serves as both a warning and a call to action.

By combining these strategies, DeepSeek delivered high AI performance at lower costs and energy use, showing that innovative model architecture and training can offset the need for extensive computational resources.

Due to export controls, DeepSeek used less advanced chips like Nvidia's H800 GPUs in China, yet managed performance through smart engineering. Quantization techniques, like 3-bit, further reduced power and memory needs.

Reinforcement learning was employed for enhancing reasoning in DeepSeek-R1 by fine-tuning DeepSeek-V3, cutting down on new training data and computational costs. This method was pivotal in achieving high performance cheaply.

They used 8-bit floating-point precision for memory, which reduces both memory usage and power consumption while maintaining performance. Optimized GPU communication was another key, focusing on efficient hardware use.

DeepSeek achieved o1 level performance with lower power and budget through innovative tech approaches like Mixture of Experts (MoE), where specialized sub-networks are selectively activated for queries, saving resources.

Everyone asked how DeepSeek overtake Open AI multibillion model o-1 performance with less power consumption and minimum of budget.

Let me explain this with several key points and innovative solutions they have utilized.

It has the potential to solve Olympiad, PhD and maybe even research level problems, like the internal model a Microsoft exec said to be able to solve PhD qualifying exam questions.

Imagine about what this model could achieve with PRM, MCTS, and other yet-to-be-released agentic exploration methods. Unlike GPT4o, you can train this model further.

Now powerful new AI model DeepSeek R1 reasoning model available in most of major platforms including AWS, Azure and NVIDIA

This allows user to use next level of reasoning model that can help to solve logical problems and coding problems much more efficiently and cost friendly Chat GPT o-1

NVIDIA just dropped a bombshell.

671-billion-parameter AI model DeepSeek-R1 is here! 🤯🚀

This AI model has next-level reasoning, coding, math, and logic capabilities.

Built for agentic AI systems, DeepSeek-R1 is powered by 8 H200 GPUs using NVLink tech for ultra-efficient inference.

The woman body is the most beautiful thing.Its soft from the outside and its harder like a rock in the inside. Its perfectly crafted with it’s curves. Every line and curve can be admired endlessly, and even after hundreds of years, I bet one could never fully appreciate its beauty.

Deepseek R1 is one of the most amazing and impressive breakthroughs I’ve ever seen. now we can use reasoning model free, when comparing to Open AI o-1 model it more efficient and cost saving option.

You can integrate it with any of your projects 🤖😊