EP 251: Are LLMs Actually Connected To The Internet?
Apr 16, 2024
Dive into the truth behind large language models and their supposed internet connectivity. Discover how major tech companies might not be as forthcoming as they claim. A hands-on comparison of models like ChatGPT, Gemini, and Copilot reveals their capabilities and limitations. Learn about the role of retrieval-augmented generation in enhancing AI performance and the implications for real-time data access. Plus, insights into how these models are shaping the future of technology in business. Buckle up for an eye-opening journey!
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LLM Internet Connectivity Claims
Large language models (LLMs) like ChatGPT, Gemini, and Copilot claim real-time internet connectivity.
However, their actual connection and information accuracy are questionable.
volunteer_activism ADVICE
Use LLMs Daily
Use LLMs in your daily work to stay competitive.
LLMs can help with research, presentations, and other knowledge work.
insights INSIGHT
Hallucinations and Internet Access
One concern about LLMs is the risk of hallucinations, or generating incorrect information.
Real-time internet access is crucial for accurate outputs.
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Ready for a little LLM secret? Big tech companies are lying to us. They tell us their models are connected to the internet in real time. Are they really? Not really. We're doing an LLM breakdown, as we compare the internet connectivity of popular large language models like ChatGPT, Gemini, and Copilot.
Timestamps: 02:00 LLMs we are testing 05:33 RAG importance in AI and internet connection. 06:50 Browsing with Bing queries words in URL. 13:04 Comparing AI accuracy 15:40 Rating and evaluating ChatGPT and Copilot performance. 19:34 Acknowledgement of Google's helpful search feature. 26:14 Uploading files to ChatGPT. 29:21 Unofficial language model results from Internet connection. 31:14 Large language models being integrated everywhere.
Topics Covered in This Episode: 1. Testing Large Language Models 2. Using Large Language Models in Business 3. In-Depth Comparison of Different Language Models 4. Implications for Future Use
Keywords: ChatGPT, Google Gemini, Microsoft Copilot, large language models, internet information retrieval, web reading platforms, information interpretation, accuracy, business use, safeguards against inaccuracies, up-to-date information, real-time data, live testing, language model performance, Everyday AI, Jordan Wilson, market cap, largest US companies, podcast episodes description, language models comparison, browse with Bing feature, web reader GPT feature, outdated information, information veracity, data retrieval, PDF hidden information, artificial intelligence, integrated AI, internet connectivity, knowledge workers.
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