The advent of AI driven large language models (LLMs) have stirred discussions about their role in qualitative research. Some view these as tools to enrich human understanding, while others perceive them as threats to the core values of the discipline. This study aimed to compare and contrast th...
Use Google Gemini or a similar LLM for research and implementation as a software engineer Evaluate and verify Gemini’s or similar LLMs’ answers to produce credible, useful work Navigate and understand larger contexts to make best use of LLM results Course description Google Gemini, ChatGPT, and...
2. Large Language Models (LLMS) with MATLAB As a programmer, I have more fun with LLMS when I can interact with them programmatically. That's wherethis MathWorks repositorycomes in. It contains code to connect MATLAB to theOpenAI® Chat Completions API(which powers ChatGPT™), OpenAI Im...
This paper explores the potential of using large language models (LLMs), such as GPT-3.5 and GPT-4, to extract and normalize attribute values from product titles and descriptions. We experiment with different zero-shot and few-shot prompt templates for instructing LLMs to extract and normalize...
Awesome papers about generative Information extraction using LLMs The organization of papers is discussed in our survey: Large Language Models for Generative Information Extraction: A Survey. If you find any relevant academic papers that have not been included in our research, please submit a request...
玄野 大模型(LLM)最新论文摘要 | Probing LLMs for hate speech detection: strengths and vulnerabilities Authors: Sarthak Roy, Ashish Harshavardhan, Animesh Mukherjee, Punyajoy Saha Recently efforts have been made by social media platforms as well as researchers to detect hateful or toxic language...
Whether you’re using LLMs or not, Symflower helps you build better software by pairing static, dynamic and symbolic analyses with LLMs. The robustness of deterministic analyses combined with the creativity of LLMs allows for higher quality and rapid sof
So when it comes to LLMs and language coverage, what we found from our research is that there are a few languages that LLMs perform really well on. Those languages tend to be high resource languages for which there is a lot of data on the web and t...
However, the recent rise in popularity of Large Language Models (LLMs) has enabled easy integration of text in multimodal machine learning models. In this work, we use pretrained LLMs to integrate various amounts known system information into PDE learning. Our multimodal approach significantly ...
there will be less irrelevant contextual information being retrieved for the Q&A, so that the answer will be more accurate and precise. At the same time, because less contextual information is sent to LLMs, the cost of inference will also be less as charges increm...