Asif Razzaq
Co-Founder and Editor at Marktechpost
Unleashing AI's potential. Editor and CEO at @marktechpost : AI News Platform with over 1.5 Million Visits per month
Articles
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3 days ago |
marktechpost.com | Asif Razzaq
In this Ultra-Light Mistral Devstraltutorial, a Colab-friendly guide is provided that is designed specifically for users facing disk space constraints. Running large language models like Mistral can be a challenge in environments with limited storage and memory, but this tutorial shows how to deploy the powerful devstral-small model.
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3 days ago |
marktechpost.com | Asif Razzaq
Google DeepMind has unveiled Gemini Robotics On-Device, a compact, local version of its powerful vision-language-action (VLA) model, bringing advanced robotic intelligence directly onto devices. This marks a key step forward in the field of embodied AI by eliminating the need for continuous cloud connectivity while maintaining the flexibility, generality, and high precision associated with the Gemini model family.
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3 days ago |
marktechpost.com | Asif Razzaq
Beijing Academy of Artificial Intelligence (BAAI) introduces OmniGen2, a next-generation, open-source multimodal generative model. Expanding on its predecessor OmniGen, the new architecture unifies text-to-image generation, image editing, and subject-driven generation within a single transformer framework.
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4 days ago |
marktechpost.com | Asif Razzaq
Autonomous AI agents have been at the forefront of taking computational abilities to various real-world tasks, and reinforcement learning (RL) is the key approach in agent creation. RL involves helping computational agents learn by repeatedly interacting with their surroundings, thereby improving their decision-making processes through the use of rewards and penalties.
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4 days ago |
marktechpost.com | Asif Razzaq
Sakana AI introduces a novel framework for reasoning language models (LLMs) with a focus on efficiency and reusability: Reinforcement-Learned Teachers (RLTs). Traditional reinforcement learning (RL) approaches in LLMs are plagued by sparse reward signals and prohibitively high computational demands. By contrast, RLTs redefine the teacher-student paradigm by training smaller models to act as optimized instructors, producing step-by-step explanations instead of solving problems from scratch.
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Top 50 LLM Interview Questions : https://t.co/orENyOMm60
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