RAG 在 LLM 应用中的作用及入门实践 快速上手 LangChain、LlamaIndex 等开发工具 如何避开常见的 LLM 开发误区,提高应用效果 谁应该参加? 希望开始从事相关行业的应届毕业生 希望快速掌握 LLM 应用开发的工程师、数据科学家 产品经理:希望理解 LLM 技术,以推动 AI 产品落地的从业者 AI 爱好者:对 LLM 开发感兴趣...
Chain-of-thought (CoT) prompting elicits the model to “think step by step” or otherwise break down its inferencing process into logical units. Just as humans can improve decision-making and accuracy by thinking methodically, LLMs can show gains in accuracy...
Evaluation is how you pick the right model for your use case, ensure that your model’s performance translates from prototype to production, and catch performance regressions. While evaluating Generative AI applications (also referred to as LLM applications) might look a little different, the same ...
Code Pull requests Actions Projects Security Insights Additional navigation options main 1Branch 0Tags Code README Self-host LLMs with vLLM and BentoML This is a BentoML example project, showing you how to serve and deploy open-source Large Language Models usingvLLM, a high-throughput and memo...
The first app used the GPT4All Python SDK to create a very simple conversational chatbot running a local instance of a large language model (LLM), which it used in answering general questions. Here’s an example from the webinar: Ask me a question: What were the causes of the First ...
the evaluation of the capabilities and cognitive abilities of those new models have become much closer in essence to the task of evaluating those of a human rather than those of a narrow AI model” [1].Measuring LLM performance on user traffic in real product scena...
Translate natural language or design mockups to code Interact with your computer and take basic actions on your behalf And practically anything else you'd imagine a multimodal chatbot trained on the entirety of the internet might be able to do. How to use ChatGPT on the web or mobile app He...
Moreover, we perform a comprehensive analysis on the data composition and find existing code datasets have different characteristics according to their construction methods, which provide new insights for future code LLMs. Our models and dataset are released in https://github.com/banksy23/XCoder ...
We can also find the model cards for each of the model, to check various parameters of the model in order to further decide which one to choose for a particular application. Few more details like, number of parameters the model is pre-trained on, Dependency on CPU ...
The capabilities of large language models (LLMs) such as OpenAI’s GPT-3, Google’s BERT, and Meta’s LLaMA are transforming various industries by enabling the generation of diverse types of text, ranging from marketing content and data science code to poetry. Although ChatGPT has garnered ...