Getting Started with LangChain: A Beginner’s Guide to Building LLM-Powered Applications
<p>Since the release of ChatGPT, large language models (LLMs) have gained a lot of popularity. Although you probably don’t have enough money and computational resources to train an LLM from scratch in your basement, you can still use pre-trained LLMs to build something cool, such as:</p>
<ul>
<li><a href="https://python.langchain.com/en/latest/use_cases/personal_assistants.html" rel="noopener ugc nofollow" target="_blank">Personal assistants</a> that can interact with the outside world based on your data</li>
<li><a href="https://python.langchain.com/en/latest/use_cases/chatbots.html" rel="noopener ugc nofollow" target="_blank">Chatbots</a> customized for your purpose</li>
<li><a href="https://python.langchain.com/en/latest/use_cases/question_answering.html" rel="noopener ugc nofollow" target="_blank">Analysis</a> or <a href="https://python.langchain.com/en/latest/use_cases/summarization.html" rel="noopener ugc nofollow" target="_blank">summarization</a> of your documents or <a href="https://python.langchain.com/en/latest/use_cases/code.html" rel="noopener ugc nofollow" target="_blank">code</a></li>
</ul>
<blockquote>
<p>LLMs are changing how we build AI-powered products</p>
</blockquote>
<p>With their weird APIs and prompt engineering, LLMs are changing how we build AI-powered products. That’s why new developer tools are emerging everywhere under the term <a href="https://wandb.ai/iamleonie/Articles/reports/Understanding-LLMOps-Large-Language-Model-Operations--Vmlldzo0MDgyMDc2" rel="noopener ugc nofollow" target="_blank">“LLMOps”</a>.</p>
<p><a href="https://towardsdatascience.com/getting-started-with-langchain-a-beginners-guide-to-building-llm-powered-applications-95fc8898732c">Read More</a></p>