OpenAI-Copilot-ChatGPT.pptx

CTO, Akumina, Inc., em Akumina
5 de Apr de 2023
OpenAI-Copilot-ChatGPT.pptx
OpenAI-Copilot-ChatGPT.pptx
OpenAI-Copilot-ChatGPT.pptx
OpenAI-Copilot-ChatGPT.pptx
OpenAI-Copilot-ChatGPT.pptx
OpenAI-Copilot-ChatGPT.pptx
OpenAI-Copilot-ChatGPT.pptx
OpenAI-Copilot-ChatGPT.pptx
OpenAI-Copilot-ChatGPT.pptx
OpenAI-Copilot-ChatGPT.pptx
OpenAI-Copilot-ChatGPT.pptx
OpenAI-Copilot-ChatGPT.pptx
OpenAI-Copilot-ChatGPT.pptx
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OpenAI-Copilot-ChatGPT.pptx

Notas do Editor

  1. LLM – large language model GPT3-released in 2020 GPT3.5 – released in 2022 (175 billion parameters, largest neural network) GPT4 – released on March 14, 2023 (process about 25000 words, images and much more nuance than GPT3) Time to reach 100M active users Instagram -30 months TikTok-9 months ChatGPT – 2 months Chat Generative pre-defined transformer A generative AI language model that interacts in a conversational way -a type of generative AI that creates new content Massively popular in a short time, with the potential to disrupt how we work, learn and interact Generative AI any type of AI that can be used to create new text, images, video, audio, code or synthetic data ecrettmusic.com/play discriminative AI (ex., image recognition, is this transaction fraudulent) ChatGPT capabilities conversations and memory providing corrections and feedback ChatGPT limitations recency of data it give incorrect anwers; always verify trained to not answer biased or inappropriate questions
  2. LLM – large language model GPT3-released in 2020 GPT3.5 – released in 2022 (175 billion parameters, largest neural network) GPT4 – released on March 14, 2023 (process about 25000 words, images and much more nuance than GPT3), it accepts image and text inputs and outputs as text
  3. Keep in mind that AGI is still a theoretical concept and has not been achieved yet. The differences listed here are based on the current understanding of what AGI could be compared to existing AI technology. Intelligent system but different levels of capability and learning AI is based on human cognition (cognitive abilities using training data sets and supervised learning) but it can only perform specific tasks that are already programmed AGI is more of intellectual learning that can perform any task to the standard of a human or better, and adapt to new domains and circumstances. AGI is also known as true AI, strong AI or full AI
  4. https://openai.com/ https://platform.openai.com/docs/api-reference https://api.openai.com/v1/models/ https://api.openai.com/v1/models/gpt-3.5-turbo https://api.openai.com/v1/engines https://api.openai.com/v1/engines/{engine_id} https://api.openai.com/v1/completions { "model": "text-davinci-003", "prompt": "Say this is a test", "max_tokens": 7, "temperature": 0 } https://api.openai.com/v1/chat/completions { "model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Hello!"}] } https://api.openai.com/v1/edits { "model": "text-davinci-edit-001", "input": "What day of the wek is it?", "instruction": "Fix the spelling mistakes" } https://api.openai.com/v1/images/generations { "prompt": "A cute baby sea otter", "n": 2, "size": "1024x1024" } https://api.openai.com/v1/images/edits { "prompt": "A cute baby sea otter", "n": 2, "size": "1024x1024", "image":"village.png" }
  5. Chat and conversation interaction: Users can interact with a conversational agent that responds with responses drawn from trusted documents such as internal company documentation or tech support documentation; conversations must be limited to answering scoped questions. Available to internal, authenticated external users, and unauthenticated external users. Chat and conversation creation: Users can create a conversational agent that responds with responses drawn from trusted documents such as internal company documentation or tech support documentation; conversations must be limited to answering scoped questions. Limited to internal users only. Code generation or transformation scenarios: For example, converting one programming language to another, generating docstrings for functions, converting natural language to SQL. Limited to internal and authenticated external users. Journalistic content: For use to create new journalistic content or to rewrite journalistic content submitted by the user as a writing aid for pre-defined topics. Users cannot use the application as a general content creation tool for all topics. May not be used to generate content for political campaigns. Limited to internal users. Question-answering: Users can ask questions and receive answers from trusted source documents such as internal company documentation. The application does not generate answers ungrounded in trusted source documentation. Available to internal, authenticated external users, and unauthenticated external users. Reason over structured and unstructured data: Users can analyze inputs using classification, sentiment analysis of text, or entity extraction. Examples include analyzing product feedback sentiment, analyzing support calls and transcripts, and refining text-based search with embeddings. Limited to internal and authenticated external users. Search: Users can search trusted source documents such as internal company documentation. The application does not generate results ungrounded in trusted source documentation. Available to internal, authenticated external users, and unauthenticated external users. Summarization: Users can submit content to be summarized for pre-defined topics built into the application and cannot use the application as an open-ended summarizer. Examples include summarization of internal company documentation, call center transcripts, technical reports, and product reviews. Limited to internal, authenticated external users, and unauthenticated external users. Writing assistance on specific topics: Users can create new content or rewrite content submitted by the user as a writing aid for business content or pre-defined topics. Users can only rewrite or create content for specific business purposes or pre-defined topics and cannot use the application as a general content creation tool for all topics. Examples of business content include proposals and reports. May not be selected to generate journalistic content (for journalistic use, select the above Journalistic content use case). Limited to internal users and authenticated external users. Data Practitioners Automation Content Creation Writing code Daily workflows
  6. https://docs.github.com/en/copilot/getting-started-with-github-copilot/getting-started-with-github-copilot-in-visual-studio