EP 153: Knowledge Cutoff - What it is and why it matters for large language models
Nov 28, 2023
Explore the fascinating world of AI and how knowledge cutoffs shape its responses. Discover why these cutoffs exist and their impact on our interaction with technology. The discussion also highlights various AI models' training processes and their reliability based on cutoff dates. Get insights into recent AI news, including controversies over authorship and enhancements in voice analytics. Plus, learn about exciting upcoming announcements in generative AI from industry leaders. Tune in for a clear understanding of AI's learning limits!
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Knowledge Cutoff Dates
LLMs have knowledge cutoffs, which means their training data has an expiration date.
This cutoff impacts the information they can access and the accuracy of their responses.
volunteer_activism ADVICE
LLMs as Textbooks
Treat LLM knowledge cutoffs like textbook publication dates.
Consider the cutoff date to assess the relevance and accuracy of the information.
volunteer_activism ADVICE
Mitigating Knowledge Cutoff Limitations
Keep the knowledge cutoff in mind to avoid inaccurate or hallucinated outputs.
Use internet-connected LLMs or plugins to bypass limitations.
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Why do AI chats lie? It probably starts with understanding the model's knowledge cutoff. Why does an AI's knowledge have an expiration date, and how does this impact our interaction with technology? We're cutting through the tech jargon to give you a clear view of how AI thinks and learns.
Timestamps: [00:01:50] Daily AI news [00:05:50] Importance of knowledge cutoff in LLMs [00:07:55] How LLMs are trained [00:10:00] Knowledge cutoff is like a text book [00:14:30] ChatGPT modes and knowledge cutoff dates [00:21:50] AnthropicClaude knowledge cutoff date [00:27:35] Microsoft Bing Chat modes and knowledge cutoff dates [00:31:30] Google Bard knowledge cutoff date [00:33:40] Recap of LLM knowledge cutoff dates [00:35:30] Final thoughts
Topics Covered in This Episode: 1. Understanding the Knowledge Cutoff in Large Language Models 2. Understanding Learning Models and Knowledge Cutoffs 3. Knowledge Cutoff Dates in Different Generative AI Models
Keywords: AI, generative AI, Sports Illustrated, investigation, fake author names, AI-generated profile images, Symphony, Google, voice analytics, financial firms, natural language processing, Amazon, reInvent conference, Bedrock service, knowledge cutoff, large language models, web scraping, training, transparency, Anthropic Claude, Microsoft Bing Chat, human confirmation, GPT 4, Bing Chat modes, Google Bard, Palm 2, learning models, textbook, GPT 3.5, prompting, ChatGPT.
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