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In this episode, we discuss LLMs, how everything started, how they work, and how to use frameworks such as LangChain to develop intelligent applications with them.
\\nGuests
\\n\\n\\n\\nNotes
\\n0:00:00\\xa0- Introduction and welcoming
\\n0:05:33\\xa0- History of LLMs
\\n0:12:00\\xa0- The role of transformers in LLMs
\\n0:21:00\\xa0- How LLMs differ from other AI methods
\\n0:26:00\\xa0- Emergent Abilities of Large Language Models
\\n0:42:00\\xa0- HaggingFace and the role or open-source in LLMs
\\n0:47:00\\xa0- Open source LLMs.
\\n1:04:00\\xa0- Using LLMs to build smart apps.
\\n1:39:00\\xa0- Advices for software engineers with no AI background to start with LLMs.
\\n1:46:00\\xa0- Conclusion and goodbye.
\\nLinks
\\nEmbracing AI-Powered Applications: A Developer\\u2019s Journey with LangChain
\\nPrepared and Presented by
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