LangChain Like SK, LangChain is another open-source SDK application development framework and toolkit for building modern AI applications with LLMs. It provides out-of-the-box libraries and […]
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LlamaIndex – Developing and Operationalizing LLM-based Apps: Exploring Dev Frameworks and LLMOps
LlamaIndex Similar to Semantic Kernel and LangChain, LlamaIndex is a programming data framework for applications that use LLMs, allowing one to ingest, manage, and retrieve […]
Autonomous agents – Developing and Operationalizing LLM-based Apps: Exploring Dev Frameworks and LLMOps
Autonomous agents Autonomous agents are a more advanced implementation of standard agents (mentioned in previous section) and are evolving at a rapid pace. Autonomous agents […]
Agent collaboration frameworks – Developing and Operationalizing LLM-based Apps: Exploring Dev Frameworks and LLMOps
Agent collaboration frameworks In this chapter, we have covered generative AI from the perspectives of developers and operations by introducing programming development frameworks and many […]
AutoGen – Developing and Operationalizing LLM-based Apps: Exploring Dev Frameworks and LLMOps
AutoGen Autogen, an agent collaboration framework introduced by Microsoft Research, is another major breakthrough in AI. It is an open source platform for building multi-agent […]
AutoGPT – Developing and Operationalizing LLM-based Apps: Exploring Dev Frameworks and LLMOps
AutoGPT Another application that has received a lot of attention in the autonomous agent world is AutoGPT from Mindstream. AutoGPT is an open source application […]
LLMOps – Developing and Operationalizing LLM-based Apps: Exploring Dev Frameworks and LLMOps
LLMOps – Operationalizing LLM apps in production In this section, we aim to comprehend what LLMOps entails. We will then explore the lifecycle of LLMs, […]
LLM lifecycle management – Developing and Operationalizing LLM-based Apps: Exploring Dev Frameworks and LLMOps
LLM lifecycle management LLM lifecycle management is a fairly young concept; however, one fact remains, the LLM lifecycle covers quite a few discipline areas. It […]
Essential components of LLMOps – Developing and Operationalizing LLM-based Apps: Exploring Dev Frameworks and LLMOps
Essential components of LLMOps In this section, we will discuss some of the key components of LLMOps that entail the process explained previously: Figure 6.7 […]
Benefits of LLMOps – Developing and Operationalizing LLM-based Apps: Exploring Dev Frameworks and LLMOps
Benefits of LLMOps Comparing MLOps and LLMOps While it is evident that MLOps is to machine learning as LLMOps is to LLMs, LLMOps shares many […]