@raushankthakur
3rd Yr UG CSE @ CU || Winner of 3+ Hackathons || SIH'23 Finalists || C++ || MERN Developer || Go || Tech Enthusiast
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Apr 23, 2025 · 4 min read · In the previous section, we saw that Shreya didn’t get the expected response when she asked: Explain the difference between waveguide and coaxial cable in practical applications. The system returned partial matches or generic definitions—not the cr...
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Apr 23, 2025 · 6 min read · In the previous section, we saw that although Shreya made a good improvement in her system and it worked well for a few prompts, it still struggled with complex tasks. In such cases, the LLM was hallucinating and not performing well. Chain of Thought...
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Apr 22, 2025 · 6 min read · In the previous section, we saw that Shreya faced a problem. When she asked a simple question expecting a straightforward answer, she was overwhelmed with too much information and responses she didn't request. To recap, the question was: What was th...
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Apr 22, 2025 · 5 min read · In the last chapter, we saw how Shreya was discouraged by her system's response to one of her questions. She then returned to the drawing board to find ways to improve her system. Let's see what she discovered and whether it solved her issue. Let me ...
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Apr 21, 2025 · 8 min read · Welcome to the first blog of the series RAG—A powerful technique that enhances the accuracy and relevance of responses generated by large language models (LLMs) by incorporating information from external data sources relevant to user’s query. 💡 Pre...
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