Deciphering Large Language Models: One Prompt at a Time
Describe your Talk
The talk will provide a peek into the world of prompting. This talk is ideal for professionals, academics, and enthusiasts in the field of AI and technology who are keen to explore practical aspects of Large Language Models.
What will be covered:
Introduction to LLMs
Zero and Few shot prompting
Prompt Engineering
Fine-tuned vs Pre-trained models
Issues and Limitations
What will NOT be covered:
Technical Details of LLM Training
Hands on coding
Statistical or Mathematical Concepts
Pre-requisites & reading material
No response
Time required for the talk
45 mins
Link to slides/demos
No response
About you
Parth Mehta is a NLP Scientist at Parmonic. In the pre-GPT era he used to spend a lot of time implementing NLP and ML solutions from scratch. In the post-GPT world he tries to outsource as much as possible to LLMs including a major part of this proposed talk.
Title
Deciphering Large Language Models: One Prompt at a Time
Describe your Talk
The talk will provide a peek into the world of prompting. This talk is ideal for professionals, academics, and enthusiasts in the field of AI and technology who are keen to explore practical aspects of Large Language Models.
What will be covered:
What will NOT be covered:
Pre-requisites & reading material
No response
Time required for the talk
45 mins
Link to slides/demos
No response
About you
Parth Mehta is a NLP Scientist at Parmonic. In the pre-GPT era he used to spend a lot of time implementing NLP and ML solutions from scratch. In the post-GPT world he tries to outsource as much as possible to LLMs including a major part of this proposed talk.
Availability
17/02/2024
Any comments
No response