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Скачать с ютуб Azure OpenAI 101: An introduction to Building Custom AI Models в хорошем качестве

Azure OpenAI 101: An introduction to Building Custom AI Models 1 год назад


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Azure OpenAI 101: An introduction to Building Custom AI Models

--------------- General Concepts --------------- 0:00  | Introduction  0:40  | GPT-3/Codex/DALL·E 1:30  | Roadmap of video 2:35  | Creating the Azure OpenAI resource in your Azure portal 3:55  | Azure OpenAI Studio 3:56  | Features overview & application examples: summarization, classifying text, natural language to SQL, Generating new product names 7:58  | GPT-3 Playground overview 8:45  | Model deployments & how to create 9:05  | Models & considerations  9:23  | Model naming convention 9:59  | Overview of GPT-3 models and capabilities: Davinci, Babbage, Ada, Curie 11:35| Overview of Codex models and capabilities: Cushman & Davinci 12:05| Recommendation for initial model deployment ------------------ Customizing Models ------------------ 13:05| Generating python snippet from the GPT-3 playground 14:00| Defining the parameters to tune: Temperature, Max length tokens, top probabilities, frequency penalty, presence penalty, best of, pre-response text, post-response text 19:25| Scenarios on how to adjust model parameters  19:31| Scenario 1: low temperature, high top probability 21:06| Scenario 2: high temperature, high top probability, low frequency penalty 22:35| Scenario 3: moderate temperature, moderate top probability, low presence penalty --------------- Fine-tuning using the OpenAI API in Python --------------- 24:15| Fine-tuning and use case, why would you want to fine-tune the model 24:42| Considerations: model size and its impact on computation and cost 25:20| Prompts and completions  25:50| Generating prompts and completions using the MediaWiki API to generate random titles and responses for those titles in Wikipedia 26:33| Importing necessary libraries 27:08| creating 100 random responses and writing a function to get their summaries, training data format 32:35| Training and validating datasets in JSON lines & exporting datasets to file management in Azure OpenAI  34:00| Creating customized model to fine-tine existing base models 35:30| Summary --------- Documentation ----------- https://learn.microsoft.com/en-us/res... https://learn.microsoft.com/en-us/azu... https://learn.microsoft.com/en-us/azu...

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