
Explore Wolfram Language 14.1's latest AI tools, including LLM connections, prompt engineering, speech recognition, and audio/video processing advancements.

Explore ChatGPT's architecture, implementation, and evolution. Compare with Bard and LLaMa. Learn to build tinyGPT. Gain insights into transformers, attention mechanisms, and the GPT family of models.

Discover how to fine-tune BERT using Hugging Face and Graphcore's IPU for state-of-the-art NLP performance. Learn to accelerate AI development, optimize models, and leverage cloud platforms for efficient machine learning workflows.

Explore applications of language models and generative AI in corporate settings, boosting productivity and customer experience while preserving proprietary data.

Explore the current state and limitations of AI agents in automating digital tasks. Examine challenges in tool use, reasoning, and knowledge, and discover potential solutions for achieving true AI autonomy.

Develop a web app using Microsoft's Semantic Kernel to integrate LLMs, enhancing their capabilities with structured responses and external data sources.

Explore generative AI's impact on knowledge work, learn to apply models for business solutions, and gain hands-on experience in automation techniques.

Explore efficient fine-tuning techniques and prompt engineering strategies for optimizing large language models in machine learning applications.

Explore efficient fine-tuning techniques and prompt engineering strategies for optimizing large language models in machine learning applications.

Explore strategies for recoding Large Language Models using tensor network substitutions to enhance explainability, compression, and performance on smaller devices.

Explore advanced techniques to enhance Llama 3's performance in drug discovery using fine-tuning, RAG, and prompt engineering. Gain insights into improving domain-specific AI responses for pharmaceutical research.

Explore advanced drug discovery using LangChain's AI tools. Compare GPT models, optimize workflows, and leverage generative AI for pharmaceutical innovation.

Explore cutting-edge GenAI techniques through live demos of RAG, RAPTOR, Agent, and Finetuning. Witness multimodal capabilities and gain hands-on experience with advanced AI models and tools.

Explore local hosting of generative AI models, comparing LLMs and LMMs for image processing, code generation, and multimodal tasks using various platforms and tools.

Explore ethical challenges and governance gaps in emerging technologies like AI in medicine, genetic engineering, and consumer neurotechnology.

Build a real-time data streaming pipeline using TCP/IP Socket, Apache Spark, OpenAI LLM, Kafka, and Elasticsearch. Process 7 million records for sentiment analysis and efficient data indexing.

Explore feature stores, vector stores, and embeddings in ML and LLMs. Learn about personalization in prompts, MLOps challenges, and innovations from Featureform's CEO Simba Khadder.

Explore a comprehensive roadmap for understanding generative AI, from prompt engineering to LLM models, use cases, and development tools. Future-proof your tech career with expert insights.

Explore Langchain's innovative approach to language processing, combining AI models with tree-of-thought reasoning. Learn key features, applications, and integration techniques for enhanced AI capabilities.

Explore the safety, appropriateness, and potential benefits of using ChatGPT in medical contexts with insights from linguistics and computer science experts.

Explore generative AI concepts and services, including LLM training, transformer models, OpenAI, Microsoft Copilots, and Azure OpenAI. Learn about prompt engineering, responsible AI, and practical applications.