find updates across different parts of your project. You can search in branches, repositories, and code hosts. Cody uses Sourcegraph’s code graph and LLM to give helpful answers for coding tasks. The program can understand your instructions and create code or elaborate on your existing code. ...
Retrieval-augmented generation, as the name suggests, aims to improve the quality of pre-trained LLM generation using data retrieved from a knowledge base. The success of RAG lies in retrieving the most relevant results from the knowledge base. This is where embeddings come into the picture. A...
最近 code 社区的发展非常快速，趋势正在从更好的 code prompting 向训练出更好的 code LLM 过度，优秀...
LLaMAis a series of the best LLMs developed by Meta. The models are trained on a massive dataset of text and code, and they can perform a variety of tasks, including text generation, translation, summarization, and question-answering. LLaMA 2 is the latest LLM in the series that is desig...
A very critical part of implementing a Generative AI solution that utilizes Retrieval Augmented Generation (RAG) like Microsoft Copilot is the discovery of the most relevant grounding documents. These most relevant grounding documents are then passed to the LLM for use in generating the NLP response...
The 10 best AI coding tools in 2024 include 1. ClickUp 2. ChatGPT 3. CodeT5 4. Codiga 5. OpenAI Codex 6. PolyCoder 7. Tabnine
By leveraging Sourcegraph’s code graph and LLM, Cody provides context-aware answers, whether you’re locating a piece of code, creating new functions, or debugging. It can interpret your instructions in natural language to generate precise code or explain the intricacies of your existing code. ...
Provides Visual Studio, Visual Studio Code, Visual Studio, Neovim, and JetBrains Extensions. Provides code suggestions or complete functions while coding 2. OpenAI Codex Regarded as the leading AI tool for code, Codex by OpenAI harnesses the power of Language Learning Models (LLMs), such as GPT...
Dall-E2, a generative AI model created by OpenAI. , excels in image synthesis. It can produce incredibly realistic and detailed pictures based on textual descriptions by utilizing deep learning techniques. Dall-E2 was created by combining certain components of the GPT-3 LLM. It leverages 12 bil...
Some of the leading large language models include GPT-3.5, GPT-4, Gemini, Cohere, PaLM, and Claude v1. These LLMs excel in tasks such as text creation, language translation, crafting creative content, answering queries, and code generation. ...