💡 Week 5: Foundational Models & Prompt Engineering Welcome to the Week 5 of the ML Study Jam series! 🌟 This week, we’ll explore Foundational Models and dive into the art and science of Prompt Engineering. From understanding the evolution of large language models (LLMs) to crafting optimal prompts, this session provides the foundation for effective interaction with AI systems.
6 RSVP'd
📅 Date: 9 March
⏰ Time: 4PM
🌐 Location: Virtual
Week 5: Foundational Models & Prompt Engineering
✔️ An overview of Foundational Models, from transformers to advanced techniques like fine-tuning and inference acceleration
✔️ Insights into Prompt Engineering to optimize your interactions with LLMs
✔️ A roadmap for continuing self-paced study and applying these skills in real-world scenarios
After the session, participants will proceed with self-paced study to deepen their knowledge and practice what they’ve learned.
1️⃣ Completion of Week 4’s AI Ethics 📚
2️⃣ A Kaggle or OpenAI account ✅
3️⃣ Access to tools like ChatGPT or similar LLM platforms 🌐
4️⃣ A readiness to experiment with and refine AI prompts 🎯
This session and self-paced study will prepare participants to harness the full potential of foundational models, empowering them to build cutting-edge AI solutions and communicate effectively with advanced systems.
This program unfolds across multiple weeks, offering foundational insights and advanced explorations into machine learning and generative AI.
ML Study Jam Weekly Plan:
1️⃣ Week 1: Intro to Machine Learning
2️⃣ Week 2: Intermediate Machine Learning
3️⃣ Week 3: Intro to Deep Learning
4️⃣ Week 4: Intro to AI Ethics
5️⃣ Week 5: Foundational Models & Prompt Engineering
6️⃣ Week 6: Embeddings and Vector Stores/Databases
7️⃣ Week 7: Generative AI Agents
8️⃣ Week 8: Domain-Specific LLMs
9️⃣ Week 9: MLOps for Generative AI
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