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Prompt Engineering Training By Mr. Vimal Daga - Self Paced
Prompt Engineering Training By Mr. Vimal Daga
1. prompt engineering | What is Generative AI | Contexts | Long term memory | What is LSTM | Context keyword | models | What is LLM | OpenAI | Hallucination problem | What is fine tuning | OpenAI playground | Some basic prompts example | Giving roles to the chatgpt | What is system role (119:08)
Summary
2. User role | System role | Assistant role | LLM module | Open AI | API Call | ChatGPT | openai play ground | Temperature | parameters | openai library | chat competition model | context window | GPT-3. 5 turbo | Tokens | Token Id | Embedding model | open ai Tokenizer (105:44)
Sumary
3. generative | zero shot problem | QNA type prompting | few shot prompting | chain of thought | fine tuning | think step by step | input keyword | contact (53:29)
Summary
Prompt Engineering & ChatGPT Training
Chatgpt 4 | difference between chatgpt 3.5 and 4 | Generated Knowledge Prompting | chatgpt hack (526:23)
LLM | use case of LLM | langchain model (217:37)
LLM Model Presentation (98:18)
Chatgpt 4 | difference between chatgpt 3.5 and 4 | Generated Knowledge Prompting | chatgpt hack
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