Nikita Namjoshi 's video " How do thinking and reasoning models work? " from the Google for Developers channel explains the concepts behind "thinking models" or "reasoning models," such as Gemini, and how they use more computation at inference time to achieve better results in complex tasks. Video Summary The video focuses on how Large Language Models (LLMs) can be improved to handle complex tasks like coding, advanced mathematics, and data analysis by utilizing more compute power during the generation phase (inference or test time). The Problem: LLMs generate responses by predicting one token at a time. When solving complex problems, the model has to figure out the entire solution in a single pass to generate the correct final answer, which is difficult. The Solution: Chain of Thought (CoT): CoT prompting is a technique where the model is prompted to generate a series of intermediate steps (a "chain of thought") that lead to the final answer...
This Week I Learned - * In 2024, the combined cloud computing revenue of AWS, Azure, and GCP exceeded $200B . * AI battles - Anthropic has blocked xAI from using its Claude AI models after xAI accessed them through the Cursor coding tool, citing rules against aiding competitors. * France’s armed forces ministry has signed a framework agreement with Mistral AI, giving its armed forces, directorates, services, and affiliated public entities—like the Atomic Energy Commission, the National Office for Aerospace Studies and Research, and the Navy’s Hydrographic and Oceanographic Service—access to AI models, software, and services developed by Mistral AI. * An AI-altered image, uploaded to social media in the immediate aftermath of a minor earthquake across Lancaster, England, convinced Network Rail that a local bridge had been badly damaged, halting travel on the line. In other fake-image news, criminals are doctoring pictures they’ve found on social media and using them as ...
Grok , the AI model developed by Elon Musk's xAI, can understand when you type Indian languages like Hindi, Telugu, Odia or other Indian regional languages using English letters (like when you type 'namaste' instead of 'नमस्ते'), and it can respond by mixing English with those languages. Grok doesn't necessarily need the native script of these languages. It has natural language processing abilities that extend to multiple languages. This is great innovation because many people in India, especially in online communication, use transliteration. Grok can generate responses that combine English words and phrases with words and phrases from the regional language you used in your input. For example, if you ask a question using a mix of English and Telugu transliteration, Grok might respond with a sentence that includes both English and Telugu words. Check these Hindi, Telugu, Odiya samples - Grok, ab Hindi mein Grōk, ippuḍu telugulō Grok, Oḍiā re This way Grok is more...
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