1. Introduction Since leaving the last company with Yuanwai, we started our own company focusing on the development of RAG large model AI product applications. During this period, which included a Spring Festival, the total time was about three months. We worked day and night, and as of the end of March, the product has … Read more
With the continuous development of data intelligence technology, content generation technology represented by AIGC driven by large language models (LLM) has become an indispensable part of enterprises’ data intelligence capabilities. However, traditional content generation technologies face issues such as untimely information updates, lack of vertical domain knowledge, and model hallucinations. The Retrieval-Augmented Generation (RAG) technology … Read more
Click Follow us by clicking the blue text above Cover image: Unlike the extension law during the pre-training phase, the performance test data for O3 shows the plasticity of model inference behavior in the post-training phase. “ 𝕀²·ℙarad𝕚g𝕞 Intelligent Square Paradigm Research: Writing Deconstructive Intelligence。 O3 is OpenAI’s L2 stage AGI product, the LLM inference … Read more
Introduction The pursuit of adaptability and domain-specific understanding in the field of artificial intelligence and language models has been relentless. The emergence of large language models (LLMs) has ushered in a new era in natural language processing, achieving significant advancements across various domains. However, the challenge lies in how to leverage the potential of these … Read more
Recently, LlamaIndex launched a new feature called Workflow in its latest version. This feature helps large language model (LLM) applications achieve event-driven architecture, making the code logic clearer and more independent. This article will take you through a simple practical project to deeply understand this new feature, highlighting its advantages and shortcomings. Without further ado, … Read more
Introduction This article provides an overall introduction to the LlamaIndex framework, including its functions, components, and explanations. LlamaIndex is an open-source LLM application development framework built on large models (including Agents and Workflows) to create context-enhanced generative AI applications. Components of LlamaIndex The following diagram illustrates the overall functional structure of LlamaIndex, abstracted from the … Read more
Are you still troubled by the uneven quality and poor performance of AI in China? Then let’s take a look at Dev Cat AI (3in1). This is an integrated AI assistant that combines GPT-4, Claude3, and Gemini. It covers all models of the three AI tools. Including GPT-4o and Gemini flash You can own them … Read more
LLM has become an indispensable productivity tool across various industries, such as text generation, language translation, and knowledge Q&A. Sometimes, the responses from LLMs can be surprising, as they are quicker and more accurate than humans. This demonstrates their significant impact on today’s technological landscape. As we delve deeper into the field of artificial intelligence, … Read more
What is the hottest topic in the era of large models? In addition to ChatGPT, tools like LangChain and LlamaIndex, designed for building large model applications, have also been gaining significant attention. To help everyone get started easily, we launched the 【Decoding LangChain】 tutorial series, and now we present the 【Unveiling LlamaIndex】 series, which you … Read more
Source: DeepHub IMBA This article is about 2500 words long and is recommended to be read in 5 minutes. This article will introduce the integration of LLMLingua with the proprietary LlamaIndex for efficient inference. The emergence of large language models (llm) has spurred innovation across multiple fields. However, with strategies driven by chain of thought … Read more