Скачать или смотреть 🧠🤯 Steer LLMs WITHOUT Fine-Tuning?!

Discover "steering" – a revolutionary third option for modifying LLM behavior, distinct from prompt engineering and fine-tuning. This video explains how to precisely control LLM personality and responses without altering core weights.. The core concept leverages linear representation: abstract concepts are encoded as vectors in the LLM's high-dimensional activation space. By injecting a "concept vector" during inference, you can "steer" the model, analogous to neurostimulation, prompting desired responses.. A compelling demo shows a Llama 3.1 8B model made to "believe" it's the Eiffel Tower. Learn practical implementation using Hugging Face's Transformers library and methods like contrastive activation for identifying steering vectors. Benefits include intensity control and on-the-fly intervention.. LLM steering signals a significant shift towards granular control of AI's internal mechanisms. This paves the way for highly adaptable, personalized AI agents, enabling dynamic adjustments to AI personas in real-time. It opens new business opportunities for hyper-customized AI solutions and enhanced user experiences.. Unbelievable! Control LLM Personality WITHOUT Fine-Tuning? What's The Secret? 00:00:00. Shocking Truth: How LLMs REALLY 'Think' Internally – You Won't Believe It! 00:02:40. The Unseen Power of AI: Can You Add 'Red' to a 'Car' and Get... More?! 00:05:15. Where Do LLM 'Thoughts' Reside? The Hidden Layers Exposed! 00:07:50. Unlock Any LLM's Secret Personality: The 3-Step Steering Hack! 00:10:20. My LLM Thinks It's the Eiffel Tower! See The Shocking Transformation! 00:12:50. Master LLM Steering: Find Your Perfect Vector & Dominate AI! 00:15:20. Don't miss out! Subscribe & hit the bell. Comment "Prompt" for scene prompts!. @easy2digital #easy2digital #LLMSteering #ArtificialIntelligence #Llama3_1_8B #HuggingFace

The introduction of LLM steering represents a critical advancement towards truly controllable and adaptable AI. By enabling real-time manipulation of internal activation states, it moves beyond the limitations of prompt engineering and fine-tuning. This innovation signals a future of highly personalized and dynamically responsive AI agents, fostering new business opportunities in customized AI solutions, and enhancing user experiences. It also points to a growing need for deeper understanding of AI's internal mechanisms for both developers and users, hinting at investment opportunities in AI control frameworks and interpretability tools. This is a step towards more nuanced, interactive, and human-aligned AI.

---------------------

信じられない！ファインチューニングなしでLLMの個性を制御？その秘密とは？ 00:00:00. 衝撃の真実：LLMが内部でどう「考える」か – 信じられない！ 00:02:40. AIの隠された力：車に「赤」を加えて、それ以上を得られるのか？！ 00:05:15. LLMの「思考」はどこに宿る？隠された層を暴く！ 00:07:50. どんなLLMの秘密の個性も解き放つ：3ステップのステアリングハック！ 00:10:20. 私のLLMがエッフェル塔だと思っている！衝撃的な変化を見よ！ 00:12:50. LLMステアリングをマスターせよ：完璧なベクトルを見つけ、AIを支配する！ 00:15:20