Gen AI Talk Abstract

Generative AI in the natural language space is showing tremendous potential in automating various routine jobs. Recent studies have also demonstrated that Gen AI can aid with creative content creations. At the centre of this innovation in Gen AI are Large Language Models (LLMs), the leading ones are GPT 4, Claude2 and Llama 2 etc. Many of these LLMs are commercial, but there are open source ones too which can help organizations unlock tremendous value and help innovate. Through this talk, I would provide a practical way to develop an end to end application using LLMs in a scalable and affordable way. Speaker would cover software development life cycle for Generative AI solutions along with problem statement definition to help budding AI engineers, AI researchers and product managers alike.

Gen AI Talk Resources

Important Papers

  • Language Models are Few-Shot Learners, https://arxiv.org/pdf/2005.14165.pdf, OpenAI
  • Scaling Laws for Neural Language Models https://arxiv.org/pdf/2001.08361.pdf, OpenAI
  • Training language models to follow instructions with human feedback, https://arxiv.org/pdf/2203.02155.pdf , OpenAI
  • Parameter-Efficient Transfer Learning for NLP, https://arxiv.org/pdf/1902.00751.pdf, Google
  • Attention Is All You Need, Vaswani et al. in 2017
  • BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, Devlin et al. in 2018