Explore a comprehensive video comparing the performance of open-source AI models Llama 3 70b, GPT-3.5 turbo, and Phi-3 medium against Perplexity AI in web search tasks. Dive into a detailed benchmarking process using a custom web search agent, examining each model's capabilities through a series of test questions. Learn about the setup and implementation of these models, including how to build your own local "perplexity" with Ollama. Gain insights into the results and effectiveness of each AI model in handling web search queries. Access additional resources for AI development, including a hands-on RAG application project and an AI Engineering course. Stay updated on the latest advancements in AI, Data Science, and Large Language Models through provided links and references.
Comparing LLAMA 3, Phi 3, and GPT-3.5 Turbo AI Agents for Web Search Performance
Data Centric via YouTube
Overview
Syllabus
Introduction:
Test Questions and approach:
Testing GPT 3.5-Turbo:
Results GPT 3.5-Turbo:
Testing Llama3-TenyxChat-70B:
Results Llama3-TenyxChat-70B:
Testing Phi 3 Medium Instruct:
Results Phi 3 Medium Instruct:
Taught by
Data Centric
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