Not the Most Powerful: It’s not as good as Claude or ChatGPT for high-quality content or problem-solving. But for basic use cases, it’s solid. When It Makes Sense to Use: Anytime privacy is key, like with sensitive internal data, or when you ...
Not the Most Powerful: It’s not as good as Claude or ChatGPT for high-quality content or problem-solving. But for basic use cases, it’s solid. When It Makes Sense to Use: Anytime privacy is key, like with sensitive internal data, or wh...
Efficient way to evaluate which Index type can exactly address specific LLM RAG use cases - freistli/AdvancedRAG
Semantic function - A function which uses an LLM to execute a task.First, you instantiate a kernel (semantic is provided for ease-of-use). Then, the kernel instance can either be called on a string (used as the prompt) or as a decorator on a function. It will call the function; if...
How To Use LLMs for Competitive Research and Gap Analysis Mar 04, 2025 8 Free AI Writing Tools To Speed Up Your Content Creation Process Mar 03, 2025 Comments Please keep your comments TAGFEE by following the community etiquette Comments are closed. Got a burning question? Head to our Q&...
摘录一则回答,来自网友Vitesh4:不同内存推荐的本地LLM LM Studio is super easy to get started with: Just install it, download a model and run it. There are many tutorials online. Also it uses llama.cpp, which basically means that you must use models with a .gguf file format. This is ...
If you're willing to pay for the $200/month plan, access to a more powerful o1 "pro mode" that uses more compute to generate better answers to harder questions. In the smartphone app, the ability to use live video with ChatGPT's Advanced Voice Mode (Copilot can only work with voice...
I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs).
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when the pre-trained LLMs out of the box don’t perform as expected or hoped, the question on how to improve the performance of the LLM application. And eventually we get to the point of where we ask ourselves: Should we useRetrieval-Augmented Generation(RAG) or model finetuning to ...