Code Llama

Coding

Enhanced coding with code generation and understanding.

About Code Llama

Introducing Code Llama: Your Ultimate Coding Companion Code Llama is not just any language model; it is a state-of-the-art large language model (LLM) specifically engineered for code generation and natural language related to coding. Built upon the foundation of Llama 2, Code Llama offers three distinct models: Code Llama (fundamental code model), Codel Llama - Python (tailored for Python), and Code Llama - Instruct (fine-tuned for understanding natural language instructions). By leveraging both code and natural language prompts, Code Llama excels in tasks like code completion and debugging across popular programming languages such as Python, C++, Java, PHP, Typescript, C#, and Bash. Available in different sizes like 7B, 13B, and 34B, each model boasts unique parameters for diverse coding needs. Trained on an extensive corpus of code and code-related data, the 7B and 13B models showcase fill-in-the-middle functionality for seamless code completion. The 34B model, while offering top-tier coding assistance, may experience slightly higher latency. With the capability to process input sequences of up to 100,000 tokens, Code Llama ensures context-rich code generation and debugging scenarios. Moreover, the specialized variations - Code Llama - Python and Code Llama - Instruct - cater to Python code generation and natural language-based queries respectively. It's essential to emphasize that Code Llama is purpose-built for code-specific tasks and not intended for general natural language processing. Rigorous benchmarking against other open-source LLMs has positioned Code Llama as a top performer, excelling in coding assessments like HumanEval and Mostly Basic Python Programming (MBPP). Committed to responsible development and user safety, Code Llama stands as a reliable and multifaceted tool that streamlines coding workflows, aids developers, and enriches code comprehension and learning experiences.

Meta Performance Reviews

"Starting 2026, employee performance evaluations will be formally linked to AI-driven impact."

Meta announced that every staff member - from engineers to marketers - will need to show how they use AI. Special recognition including bonuses and raises will go to those with exceptional AI-driven results.

What this means for you

Start documenting your AI usage now. Track Impact helps you build a portfolio of AI achievements for performance reviews.

Shopify Prove AI Can't Do It

"Before asking for more headcount, teams must demonstrate why they cannot get what they want done using AI."

CEO Tobi Lütke mandated that AI usage is now a "fundamental expectation." New roles are only approved if a team can prove the work can't be automated.

What this means for you

Understanding your value is critical. Our profiles show which tasks need human judgment vs. AI automation.

Microsoft Mandatory AI Usage

"Using AI is no longer optional — it's core to every role and every level."

Microsoft's internal memo made AI usage mandatory for all employees. The company is implementing metrics into performance review processes.

What this means for you

AI literacy is now as essential as email proficiency. Search for AI tools relevant to your specific role.

Duolingo AI-First Hiring

"Duolingo is going to be AI-first. We will gradually stop using contractors to do work that AI can handle."

CEO Luis von Ahn declared the company "AI-first" in April 2025. AI use is now included in hiring AND performance review evaluations. They completed 148 language courses in 12 months - work that previously took 12 years.

What this means for you

AI proficiency is now a hiring requirement. Build your AI portfolio to stand out in job applications.

Klarna 40% Workforce Reduction

"There is a massive shift coming to knowledge work. And it's not just in banking, it's in society at large."

Klarna reduced its workforce from 5,500+ to ~3,000 employees. An AI chatbot now handles the work of 700 human agents. Revenue per employee increased 73%.

What this means for you

Proving your unique human value is essential. Document where you add value that AI cannot replicate.

Google Competitive Necessity

"Companies which will become more efficient through this moment in terms of employee productivity [will win]."

CEO Sundar Pichai made clear that employees need to be "more AI-savvy" as competition intensifies. The focus is on employee productivity through AI adoption.

What this means for you

AI literacy is a competitive advantage. Discover the AI tools that will make you more productive in your role.

Opendoor Default to AI

"The first line in everyone's job expectation: Default to AI."

Performance evaluations now measure AI tool usage frequency. Stock jumped 8.6% after announcement. Every employee expected to use AI as their first approach to tasks.

What this means for you

Track Impact helps you document your AI-first approach and measure the results.

Thomson Reuters Upskill or Leave

"You will be left behind if you don't adopt AI."

CPO warns there's no future at the company without AI skills. Over 11,000 employees have completed AI training programs. The message is clear: adapt or face consequences.

What this means for you

Start your AI journey today. Search for role-specific AI recommendations and begin building your skills.

Fiverr Hiring Filter

"We won't hire candidates who don't use AI."

CEO requires AI skills for new hires. AI proficiency is now a baseline expectation for all job seekers. Those without demonstrated AI experience are filtered out.

What this means for you

Job seekers need documented AI experience. Build your portfolio with Track Impact before your next application.

Amazon Smaller Teams

"Learn AI and get more done with scrappier teams."

CEO says corporate workforce will shrink with AI. Amazon invested $1.2B in upskilling 300,000 employees. The future is smaller, AI-augmented teams.

What this means for you

Upskill now to stay competitive. Explore AI tools for your role and start documenting your productivity gains.