Sources
Loading...
Additional media
Loading...
DeepNewz, mobile.
People-sourced. AI-powered. Unbiased News.
Large Language Models (LLMs) are increasingly dominating the AI landscape, supported by billions of research dollars from major tech companies like Microsoft, Meta, Amazon, and Google. These models, known for their computational intensity and massive data requirements, are being challenged by Small Language Models (SLMs), which offer more streamlined designs and lower processing needs. Innovations such as the LangChain framework, an open-source orchestration tool, are enhancing the usability of LLMs in application development, providing tools for handling complex natural language processing tasks and facilitating the integration and scaling of LLM applications.
Unlock the full potential of large language models (LLMs) for your business with three powerful techniques. Learn how developers can customize LLMs for their business use case. https://t.co/AVRgNZieFt #LLM https://t.co/xByu4r5C1I
🤖 LangChain is the future of LLM application development. How? LangChain simplifies the process of building LLM applications that perform complex #nlp tasks. It provides an open-source orchestration framework that allows developers to build, integrate, and scale…
There are many ways to use Large-Language Models in your projects. But this comes with certain challenges - like long-running calls & handling natural language input. Here, @hacubu explains how the LangChain framework can help you build apps with LLMs. https://t.co/9ONg8tr6qM
