Improving LLM success in Production | Bharani Subramaniam | Thought Works | The Neural Talks | Episode 1

Join us for an insightful episode of The Neural Talks as we welcome Bharani Subramaniam, CTO of Thought Works India & Middle East. With extensive experience in the tech industry, Bharani sheds light on critical questions: Why is the success rate of deploying Large Language Models (LLMs) in enterprises and SMBs in single digits, and how can we improve our odds in this complex AI landscape?

In this episode, Bharani delves into the relevance of foundational language models, and the importance of data diversity and quality, and offers practical steps for integrating AI into customer-facing products. He places particular emphasis on succeeding with the production deployment of LLMs, providing valuable insights and strategies for tech leaders and AI enthusiasts.

Key Highlights:

• The importance of integrating LLMs into tech products
• Data quality and diversity in AI projects
• Selecting the right AI model for your business
• Implementing RAG (Retrieval Augmented Generation)
• Vector stores and their role in AI architecture
• Hosting and serving AI models
• Observability and evaluation frameworks
• Implementing guardrails for AI
• Legal and privacy considerations in AI projects

Tune in to discover how to navigate the complexities of AI and enhance your LLM deployment success. Don't miss this opportunity to learn from a leading expert in the field!