Charlas - Jorge de Paz: Embeddings, transfer learning y más: LLM a tu medida

LLMs (Large Language Models) are models that can understand and communicate in natural human language, with examples like GPT from OpenAI and Gemini from Google

The technology enables automation and value creation through natural language processing, making complex tasks more accessible to both technical and non-technical users

Modern LLMs have limitations regarding data cutoff dates (e.g., training data up to 2021) and require special techniques to work with updated information

The speaker emphasizes the importance of community and social aspects in technology development - humans are social beings who need to collaborate and share knowledge

LLMs can be customized and enhanced through techniques like embeddings and fine-tuning to create more specialized applications

The technology has significant potential for automating processes and creating value for both individuals and organizations

There’s a growing need to understand how to properly input data and communicate with LLMs to get optimal results

The accessibility of LLMs through the internet has democratized access to advanced AI capabilities for anyone with internet access

The focus is increasingly shifting towards making these technologies accessible to beginners and non-specialists

Current LLM applications extend beyond text to include multiple formats like audio and visual processing