Faster Problem-Solving
Access relevant information quickly to keep your projects moving.
Leverage the power of generative AI to get the right answers quickly.
Receive accurate and contextual solutions in just 15 seconds, significantly reducing time spent on problem-solving.
Connect Phind to your codebase for a more tailored and relevant search experience.
Whether it’s Python, Java, C++, or other languages, Phind supports a wide range of programming languages to meet your needs.
Phind is built on the CodeLlama-34B-v2 model, trained to understand complex programming languages and concepts. It delivers reliable answers to your technical questions and outperforms other open-source models, boasting a 75% PASS 1 rate, meaning Phind delivers the correct answer on the first try.
Phind isn’t just another search engine.it’s a tool designed to optimize your workflow:
Faster Problem-Solving
Access relevant information quickly to keep your projects moving.
Efficient Workflow
Save time on troubleshooting and focus on delivering quality code.
Improved Code Quality
Get contextual and accurate answers that help you write cleaner, more efficient code with fewer bugs.
Developers around the world rely on Phind to:
Phind is trusted by industry professionals, including developers at the University of Texas at Austin, where the co-founders first saw the potential of large language models as a developer search engine.
Phind is fine-tuned using the Alpaca/Vicuna format, ensuring precise answers that align with your programming instructions. Whether you're looking for best practices or tackling complex coding issues, Phind is designed to cater to your exact needs.
Take your coding efficiency to the next level. Join the thousands of developers using Phind to revolutionize how they work. Get the answers you need faster, cleaner, and with unparalleled accuracy.
Phind Pro offers unlimited access to powerful Phind-405B and Phind-70B searches, along with daily uses of GPT-4o, Claude 3.5 Sonnet, and Claude Opus. Features include multi-query search, in-browser code testing, image analysis with GPT-4, and a 32,000 token context length. Users can opt out of data training.
Enjoy all the benefits of Phind Pro at a discounted rate when billed annually.
Includes everything in Pro with additional enterprise features like default data exclusion from training, OpenAI zero data retention, user management, and centralized billing.
Currently there is no Apple iPhone app( IPA) or Android app ( apk) for Phind. Phind offers Progressive Web App (PWA) support, allowing you to add phind.com to your home screen and use it like a native app.
- On iOS : Open Safari, go to phind.com, tap the share button, and then select "Add to Home Screen.
- On Android : Open Chrome, tap the menu button, and select "Add to Home Screen.
Phind is built for developers, providing fast answers to technical and coding questions. Unlike ChatGPT, Phind is optimized for code generation, integrates with your codebase, and focuses on developer-specific needs.
Phind provides answers within 15 seconds, ensuring you get the information you need quickly.
Yes, Phind supports multiple programming languages, including Python, Java, C++, and more.
Phind’s PASS 1 rate is 75%, meaning it delivers the correct answer on the first try 75% of the time.
Phind-70B is the latest and most advanced AI model developed by Phind, It is designed to provide high-quality answers for technical topics. Phind runs up to 4x faster than previous models, Also Phind offers an exceptional user experience for developers.
Phind-70B runs at up to 80 tokens per second. This allows developers to get their answers quickly without interruptions to their workflow.
Phind-70B is based on the CodeLlama-70B model and has been fine-tuned with an additional 50 billion tokens. It also supports a larger context window of 32K tokens for more comprehensive responses.
Phind-70B scores 82.3% on the HumanEval benchmark, outperforming GPT-4 Turbo's score of 81.1%. Although GPT-4 outperforms Phind-70B on Meta's CRUXEval dataset (62% vs. 59%), Phind-70B performs at a similar quality level to GPT-4 Turbo in real-world coding tasks and exceeds it in some cases.
Phind-70B generates detailed code examples more readily than GPT-4 Turbo. It is designed to avoid "lazy" answers, It also provides high-quality output that improves coding workflows.
Phind-70B is ideal for developers looking for fast, high-quality answers to technical queries, especially those involving code generation. It excels in providing detailed and accurate code examples that can streamline development processes.
WizardCoder is an advanced AI model designed for code generation and problem-solving tasks. It is often compared to Phind-V2 with a focus on generating accurate and functional code across various programming challenges.
WizardCoder’s performance can vary depending on local settings and configurations. Factors such as system tweaks, quantization methods (like 8-bit quant), and model replication techniques can influence results. Continuous adjustments in settings may lead to different outcomes on each run.
Pass@1 measures the accuracy of code generation indicating whether the first output from the model is correct. This metric is important in benchmarking how well a model can generate working code without needing further refinement or retries.
Developers have used WizardCoder to generate code for tasks such as PowerShell, Active Directory, and Python scripting. Users have reported success with the model generating functional code with minimal debugging.
You can follow ongoing comparisons or contribute to further benchmark results by checking the repo at this GitHub link, where developers are actively working on improving evaluation frameworks.
Future improvements may include advancements in 8-bit quantization and refining the Llama-Code model to further enhance performance.
Phind-CodeLlama-34B-v2 is an advanced, fine-tuned AI model built on Phind-CodeLlama-34B-v1. It has been fine-tuned on an additional 1.5 billion tokens of high-quality, programming-related data.
Phind-CodeLlama-34B-v2 is multi-lingual and proficient in several programming languages, including Python, C/C++, TypeScript, Java, and more, making it a versatile tool for developers across different coding environments.
The model is instruction-tuned using the Alpaca/Vicuna format. It makes it highly steerable and easy to use for developers. This tuning enhances its ability to follow programming instructions and generate precise and context-aware responses.