But how does it compare to some of the othertext-generating A.I. tools out there, like ChatGPT, Bing Chat or Google Bard? I played around with LLaMa 2 to see how it performs on some of the common tasks that generative A.I. tools are useful for. What I found was a powerful open...
where we also used the same test, only ChatGPT's response is noticeably better than Llama 2's response. Llama 2's response seems to be fairly better than Google's Bard. After putting the chatbots through several creative tasks, it's clear that ChatGPT is still the top dog in terms of...
| 当我真的在本地部署了LLaMA 2之后,我就不是很理解那些吹LLaMA 2能抗衡chatGPT的人了。LLaMA 2的基础模型,非常容易出现衰退现象,回答稍长就开始重复各种同义词、近义词。而如果选择LLaMA 2的chat版本,经过RLHF之后重复现象依然存在,但稍微好了一点,可是Meta RLHF又过于政确,连杀死一个进程都会被拒绝。在reddit...
The next big update to the ChatGPT competitor has just released, but it's not quite as easy to access. Here's how to use Llama 2.
We compare OpenAI’s ChatGPT vs Amazon Olympus AI - the rumored large language model that could at last dethrone it.
OpenAI has expanded ChatGPT's ability to access the internet over the last year. However, being able to parse specific web pages and process them is still useful, as you'll often find that ChatGPT refuses to extract data from some websites. For instance, if you ask it to read cnn.com...
Large language models are the algorithmic basis for chatbots like OpenAI's ChatGPT and Google's Bard. The technology is tied back to billions — even trillions — of parameters that can make them both inaccurate and non-specific for vertical industry use
I'm a writer, so I spend a big chunk of my time doing research. That's why I was so excited to get my hands on Google's AI chatbot, Gemini (formerly Google Bard). It's similar to other AI-powered text generation tools like ChatGPT, but it's supposed to pack the power of ...
The guide focuses on ChatGPT (GPT-4), but every single technique shared below applies to other Large Language Models (LLMs) like Claude and LLaMA. Table of contents What's in this guide? Why should you care about Prompt Engineering?
We will use LangChain to create a sample RAG application and the RAGAS framework for evaluation. RAGAS is open-source, has out-of-the-box support for all the above metrics, supports custom evaluation prompts, and has integrations with frameworks such as LangChain, LlamaIndex, and observability...