A few months ago, Meta announced their open-source LLM-based generative AI trained on a massive dataset. It helps with generating content. Now, Meta has announced that they are upgrading LLaMA for programming.
Programmers already use different LLMs for various tasks, from writing new software to debugging existing code. The goal is to improve workflow efficiency and enhance individual productivity. Meta trained it on a code-specific dataset to do both code and language prompts. Previously, it was only for general purposes; anything it generates is commercially available.
Code LLaMA for Programmers
Since every platform has a dedicated coding language model, Code LLaMA has been developed for software development. It supports multiple code AI models like Python, C++, Java, TypeScript, C#, and Blash for generating code, completing code, creating developer notes, and creating documentation.
It can be used for debugging but also helps to understand code. Meta AI is expanding its two fine-tuned models for generating helpful and safe answers in natural language with new code.
The company has also implemented safeguards to prevent the generation of any harmful code, making it safer and more expected but perhaps less creative. This means it will not generate harmful content or malicious code. There are several safety checks that it follows before recommending codes. Meta AI is trying to allow the creation of complete code from natural language prompts to create and describe code in multiple coding languages.
I have personally seen that it will not generate content that sounds harmful. In most cases, it successfully avoids generating anything that goes beyond ethics. Sometimes, it can be frustrating since it has more false flags, but it is still better than Google’s Bard.
Other popular AI-coding models are OpenAI Codex and Google Codey, which power their chatbots and coding platforms. Even Stacks has announced that OverflowAI will be integrated into StackOverflow. Meta AI’s LLaMA 2 has 34B parameters, similar to OpenAI’s GPT 3.5. The company is still behind OpenAI’s latest GPT-4 but is still better than Google’s PaLM Coder and StartCoder.
Apart from Code LLaMA, there is also an announcement of their speech-to-text service, which can translate more than 100 languages. Talking about Translate Speech-to-Text and Text-to-Text, it recognises 100 input languages and converts them into 35 output languages. This includes language support for Hindi, Telugu, and English, making it quite effective. Some popular AI-code writing tools include GitHub CoPilot, OpenAI Codex, AWS CodeWhisper, and Google Codey.
How to Use Meta LLaMA 2 to Create Codes
Meta AI has not yet announced its chatbot, but the company is reportedly actively working on making it public. Until Meta announces their AI chatbot, you can use Perplexity AI to use Meta LLaMA 2. Without further ado, let us take a closer look at this.
- Visit PrePlexity AI’s LLaMA 2 in your browser.
- Next, you will find the text area at the bottom to write your text.
- Write your prompt, and there is a LLaMA version at the bottom-right. Select according to your preferences, For Code do selected Codellama.
4. Hit enter or click on the arrow button to submit your prompt.
5. After that, it will generate the content for you, which appears upfront in a big box.
6. At the bottom, it also shows how many tokens it used, the time it took to process your request, and other helpful details.
7. That is it.
Now, you can use Meta AI LLaMA 2 to generate text, translate languages, create audio, and code with the latest machine learning. Meta says they have optimised it for Python, and the LLaMA 2 models range from 7 billion parameters to 34 billion parameters.
The LLaMA model, similar to other generative AI models, would be useful for academic research. Its specific code functionality could be pretty helpful, as it has been used quite often in the past. We have seen that after Microsoft announced CoPilot, it boosted developer productivity. With the recent announcement of CoPilot X, it has become even more helpful.
These tools are beneficial for beginners who face issues generating new codes and debugging them. The LLaMA Code is available for free for research and commercial use. However, the company does not recommend it for Python for natural language instructions.
Meta AI’s SeamlessM4T
In the future, we may see LLaMA Code integrated into Microsoft CoPilot X, as the company is not exclusively working with OpenAI to integrate AI into its products and services. Almost every major company seeks ways to improve their workspace productivity and integrate AI into their products and services.
The company is constantly improving its AI model. We have yet to see how good their chatbot will be. Implementing safeguards is one of the significant concerns of Meta AI. Meta’s AI models are available to developers and researchers in more or less open-source form to help everyone.