Muhammad Saud Saeed’s Post

Improving Llama-2 with Human Feedback: Key Takeaways & Reflections Just wrapped up an exciting project exploring Reinforcement Learning from Human Feedback (RLHF) with Llama-2 on Google Cloud Vertex AI! 🎉 RLHF is the secret sauce behind many modern AI systems, it's how we teach AI to align with human preferences and values. It essentially trains a "reward model" based on human feedback, which then guides the main language model to generate outputs that are more aligned with what we find helpful, safe, and informative. Think of it as a personal trainer for your AI, helping it learn and improve based on constructive criticism. By incorporating human feedback into the training loop, we can steer these powerful models towards generating outputs that are not only impressive but also ethically sound and aligned with human values. Fascinating to see how this technology, which powers systems like ChatGPT and Claude, works under the hood! #MachineLearning #RLHF #GoogleCloud #LLM

🚀 Excited to share that I've completed the "Reinforcement Learning from Human Feedback" course from DeepLearning.AI! 🎉 Throughout this course, I gained a deep understanding of how to align large language models (LLMs) with human values and preferences using Reinforcement Learning from Human Feedback (RLHF). Key learnings: LLMs, though trained on human-generated text, require additional methods like RLHF for better alignment with human values. RLHF is pivotal for tuning base LLMs to meet specific use case preferences. Explored the "preference" and "prompt" datasets integral to RLHF training. Utilized the Google Cloud Pipeline Components Library to fine-tune the Llama 2 model with RLHF. Compared the tuned LLM with the original model using loss curves and the “Side-by-Side (SxS)” method. Grateful for this enriching experience and excited to apply these insights in real-world applications! #DeepLearning #ReinforcementLearning #AI #MachineLearning #LLMs #RLHF #TechSkills #ContinuousLearning #AIAlignment

🎉 Just wrapped up a cool course on Reinforcement Learning from Human Feedback offered by DeepLearning.AI! It was fascinating to see how human feedback can enhance custom LLM applications. 🚀 The final lectures were particularly exciting as the instructor introduced techniques like RLAIF, which combines AI feedback with human feedback – mind-blowing! 🤯 Though the course is just an hour long, it provides a solid overview and is an excellent starting point. Highly recommended for anyone interested in the field! 🌟 #MachineLearning #LLM #ArtificialIntelligence #Learning #AI #ReinforcementLearning #RLHF #RLAIF #DeepLearningAI #deeplearning https://lnkd.in/d_P7BCTN

Thrilled to have completed the 'Reinforcement Learning from Human Feedback (RLHF)' course from DeepLearning.AI and Google Cloud! 🌟 This journey has deepened my understanding of how AI can learn and adapt based on human input, bridging the gap between machine intelligence and human intuition. Excited to apply these insights in real-world applications and continue exploring the future of AI! #AI #MachineLearning #ReinforcementLearning #LifelongLearning #RLHF

I'm excited to share that I've completed the "Reinforcement Learning from Human Feedback (RLHF)" course from DeepLearning.AI! This course was a fantastic journey into the world of reinforcement learning (RL) and how human feedback can improve large language models. I learned about the basics of RLHF, how it works, and why it’s important. I also got hands-on experience tuning a large language model with RLHF techniques, evaluating its performance, and setting up Google Cloud for these experiments. This course has equipped me with valuable skills that I’m eager to apply in real-world projects. If you're interested in AI and machine learning, I highly recommend this course!

🌟 Unlock the Power of LLMs with RLHF! 🌟 Dive into the world of tuning and evaluating Large Language Models (LLMs) using Reinforcement Learning from Human Feedback (RLHF). Learn how to fine-tune the powerful Llama 2 model to enhance its performance and adaptability. 🔍 Key Takeaways: Introduction to RLHF for LLMs Practical tips on fine-tuning the Llama 2 model Hands-on techniques for model evaluation #AI #MachineLearning #ReinforcementLearning #RLHF #LLM #Llama2 #FineTuning #DataScience #ArtificialIntelligence #AIResearch #DeepLearning #TechInnovation #NaturalLanguageProcessing #ML #ModelTraining

Many can fine tune LLMs but real world needs a model that favours human preferences more than some random generations. I feel enthusiastic about how these base LLM models can learn over time by human feedbacks to generate the best for humans, by learning directly from humans. #llm #deeplearning #googlecloud #vertexai #generativeai #rlhf

🚀 Mastering LLMs and Generative AI If you’ve grasped the core idea behind LLMs and generative AI, these DeepLearning.AI short courses are an absolute game-changer. 💡 In less than 2 hours, you’ll be equipped with the skills to dive into this rapidly evolving field. From prompt engineering to fine-tuning LLMs, these courses will get you up to speed effortlessly. But remember, invest in the core knowledge as much as you can. 📚 This will reward you immensely, enabling you to pick up new concepts faster and grow deeper in understanding. 💻 Want to build your understanding from scratch? Check out my evolving repo: 👉 MyLLM_101_from_scratch No need to feel lost in comprehensive resources—head straight to the notebook section: 👉 Notebooks Here, you’ll find step-by-step implementations of every idea, guiding you from the basics to the LLM promised land. 🌟 Let’s level up and build something incredible together! 🚀 #AI #LLMs #GenerativeAI #DeepLearningAI #LearnFromScratch #OpenSource

More learnings to go.