|
- Lecture 21: LLM Tool Augmentation
In this presentation, we talk about how we can use external tools to augment LLMs LLMs Using External Tools LLMs excels at several natural language processing tasks, but shows several limitations including: Access up-to-date information Hallucinating facts Multi-step reasoning Lack of mathematical skills for precise calculation
- PowerPoint Presentation
Step 1: Create an account on the OpenAI website Step 2: Obtain an API key, which you'll use to authenticate your API calls Step 3: Use one of the API client libraries provided by OpenAI, such as the Python library, to interact with the API in your code Step 4:
- Introduction to RNN and LSTM (draft)
1) Input embedding, two methods (1a) By learning (1b) (subword embedding: wordpiece algo ) 2) Positional encoding 3) Encoder1: multi-head attention 4) Encoder2: feed forward network
- Artificial Intelligence: Management and Strategy
Microsoft hosts the OpenAI models in Microsoft’s Azure environment and the Service does NOT interact with any services operated by OpenAI (e g ChatGPT, or the OpenAI API)
- Deep Transfer Learning and Multi-task Learning
GPT-3: Generative Pre-trained Transformer 3 A natural language processing model proposed by OpenAI in 2020; trained on 175 billion parameters, which is 10 times more than any previous non-sparse language model available; strong at tasks such as translation, answering questions, as well as on-the-fly reasoning-based tasks like unscrambling words
- VISCHER Short AI Policy (E) - Rosenthal
Safe, sensible and lawful use of AI at work? Watch the short video here: https: vischerlnk com ai-intro This is a binding policy for all employees Date:
|
|
|