From the course: AI Trends
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Assistant GPTs
- For AI systems to be truly useful in a development setting, they have to be fully configurable and provide basic features like state management and dynamic controls. But when OpenAI first released their API, developers had to do all this manually. So when they built custom agents, they had to declare system, assistant, and user messages with every request and manage their state by storing each message-response pair in some form of database, and then pass that to store data back into the API with every message. It was labor-intensive and expensive and quite messy. In response to this, OpenAI has now introduced the assistant API. This new API is the developer version of ChatGPT's Custom GPTs. And with, it you can create custom assistants with their own instructions, their own tools, and their own knowledge retrieval, and spin up individual stateful chats under each assistant without having to store the exchange on…
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AI regulations6m 48s
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General artificial intelligence3m 43s
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The LLM landscape2m 43s
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Multimodal prompting3m 11s
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Assistant GPTs3m 21s
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Google Gemini3m 40s
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Claude4m 8s
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ChatGPT3m 54s
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Prompt engineering3m 25s
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Generative AI3m 32s
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Facial recognition5m 56s
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