to improve models in agent-oriented tasks without compromising their general capability. CodeActAgent, finetuned from Llama2 and Mistral, is integrated with Python interpreter and uniquely tailored to perform sophisticated tasks (e.g., model training) using existing libraries and autonomously self-...
So, here I am, rolling up my sleeves to explore three popular AI code generators - GitHub Copilot, Amazon Codewhisperer, and Tabnine. It’s a journey to cut through the noise and experience firsthand what these tools bring to the table. Will they be the a...
Code Folders and files Name Last commit message Last commit date Latest commit Cannot retrieve latest commit at this time. History 5 Commits .gitignore README.md api.js package-lock.json package.json server.js AI Image Generator Backend
aalekhpatel07 / Billie-AI-lish-and-Oscar-W-AI-lde Star 0 Code Issues Pull requests Generating music and poetry using RNNs. data-analysis rnn-tensorflow generating tensorflow-keras Updated Jul 20, 2021 Python lobz1g / docen Star 0 Code Issues Pull requests Small utility for generating...
Creating an AI Engine Design using Vitis Model Composer Preparing the Kernels Data Accessing Mechanisms Runtime Parameter Specification Importing AI Engine Code as a Block Variable-Size Signals Importing AI Engine Kernels Non-Class-Based Kernels Importing Buffer-Based Kernels Importing Stream...
Generative AIhas opened up a lot of potential in the field of AI. We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. One such area that is evolving is using natural language processing (NLP) to u...
in a system that maps the user’s natural language query to Python code using the Codex generator, executes the code, and shows the result. We proposegroundedabstraction matching, which bridges the abstraction gap by translating the code ...
This imports Gradio, Whisper, andpipelinefromTransformers, which performs sentiment analysis using pre-trained models. Like we did last time, the project folder can be kept relatively small and straightforward. All of the code we are writing can live in anapp.pyfile. Gradio is based on Python...
The inverse design process is bifurcated into two stages: planning for a genetic algorithm and executing it. Predominantly, errors in inverse design surface during the planning stage. In this phase, the goal and properties of the genetic algorithm are defined, and code is devised for selecting pa...
Generative AI has transformed the fields of Design and Manufacturing by providing efficient and automated methods for generating and modifying 3D objects. One approach involves using Large Language Models (LLMs) to generate Computer- Aided Design (CAD) scripting code, which can then be executed to ...