Explore >> Select a destination
|
You are here 
|
www.llamaindex.ai | ||
| | | | |
jamiemaguire.net
|
|
| | | | | In the previous blog post, I introduced Semantic Kernel, the components that form the open source SDK, and how it can be used in conjunction to with Open AI to create a simple conversational agent. In this blog post, I take a closer look at how you can leverage prompts to create Inline Prompt Functions when using Semantic Kernel. The following is covered: Inline prompt functions Ensuring predictability Refining LLM prompt output Few-shot prompting Handling unexpected user input Templatising and calling l... | |
| | | | |
www.securityjourney.com
|
|
| | | | | Generative AI is quickly becoming the coding sidekick developers didn't know they needed. | |
| | | | |
bdtechtalks.com
|
|
| | | | | Retrieval augmented generation (RAG) enables you to use custom documents with LLMs to improve their precision. | |
| | | | |
amatriain.net
|
|
| | | Introduction What we talk about when we talk about Hallucinations How to Measure Mitigating Hallucinations: a multifacted approach Product design approaches Prompt Engineering solutions Grounding with RAG Advanced Prompt Engineering methods Model Choices Reinforcement Learning from Human Feedback (RLHF) Domain adaptation through Fine-Tuning Conclusion: Yann vs. Ilya | ||
