Future Forward - 50th Edition - Last Week in AI - AI Code Generator Models

Welcome to the 50th Edition of Future Forward - the Emerging Tech & AI Newsletter!

This newsletter aims to help you stay up-to-date on the latest trends in emerging technologies and AI. Subscribe to the newsletter today and never miss a beat!

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Each edition covers top AI news from last week and an AI-related topic - Primers/Tutorials/ Latest Advances/ How AI is being used.

Here's what you can expect in this issue of the Emerging Tech & AI Newsletter:

• A summary of the top AI news from the past week.
• A Primer on AI Code generator models

AI News from Last Week

The field of AI is experiencing rapid and continuous progress in various areas. Some of the notable advancements and trends from the last week include:

Big Tech in AI

1. Apple released a new DCLM-7B open-source AI model.
2. Google is developing a ‘Prompts Gallery‘ to allow users to curate a collection of favourite prompts.
3. Google researchers developed a new AI-powered weather and climate model called ‘NeuralGCM’.
4. Meta releases Llama 3.1 405B.
5. Google is enhancing the Play Store experience with AI-powered tools. New features include automated app reviews, specialized app collections, and personalized recommendations.
6. Google’s AI scores silver at the Math Olympiad.
7. Meta AI in Hindi, company rolls out ‘Imagine me’ prompt in U.S.
8. Microsoft announced Phi-3 fine-tuning, new generative AI models, and other Azure AI updates.
9. Microsoft just gave its Bing search engine a powerful AI upgrade.
10. Nvidia starts delivering the latest chips to Indian partners for AI cloud infra.
11. Nvidia is preparing a version of a new flagship AI chip for the Chinese market.
12. Amazon racing to develop AI chips cheaper, and faster than Nvidia's.
13. Amazon Prime Video gets new AI features.
14. GE Healthcare teams up with Amazon to build generative AI models.

Funding & VC Landscape:

1. Cohere announced a new funding round of $500M from investors.
2. Singapore committed $74.3 million to help its financial industry develop quantum computing and artificial intelligence technologies.
3. Harvey secured $100M Series C funding.
4. Lakera Secures $20M Series A.
5. Uplimit Secures $11M Series A.
6. DocketAI Raises $15M Series A.
7. Zest Security Raises $5M.
8. Fractile Raises $15M.
9. Gcore Secures $60M Series A.
10. Earlybird AI Secures ￡625K Pre-Seed Funding.
11. Splight Secures $12M Seed Funding.
12. Code Metal Secures $16.5M.
13. Cypris Secures $5.3M.
14. Monarch Tractor Secures $133M in Series C.
15. Brenig Therapeutics Secures $65M in Series A.
16. Vijil Raises $6M Seed Funding to Expand AI Agent Solutions

Other AI news:

1. OpenAI, Broadcom will develop a new AI chip to alleviate GPU shortage.
2. AMD?claims?its new laptop chips can outperform Apple's M3.
3. xAI announced Memphis Supercluster — "the most powerful AI training cluster in the world".
4. A New version of datachain was released.
5. Scaled Foundations, aiming to create universally intelligent robots, launched GRID Beta, a free online tool for developing robot AI. Join the waitlist here.
6. Disney released a paper on the Design and Control of a Bipedal Robotic Character.
7. Haiper’s new AI video generation model allows users to generate up to 8-second videos for free.
8. Adobe Unveils Powerful New Innovations in Illustrator and Photoshop.
9. OpenAI?announced?GPT-4o fine-tuning.
10. Cohere launched Rerank 3 Nimble, a new foundation model for enterprise search and RAG systems.
11. Mistral released the Large 2 model.
12. Stability released Stable Video 4D.
13. OpenAI revealed its AI search engine - SearchGPT.

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A Primer on AI Code Generator Models

Code generator models are artificial intelligence models capable of generating code snippets or even entire programs based on given prompts or inputs. These models are built on the foundation of large language models (LLMs) and are trained on massive datasets of code and natural language descriptions.

How do They Work?

1. Training: Code generator models are trained on vast amounts of code repositories, including code from GitHub, Stack Overflow, and other public sources. This data provides the model with a deep understanding of programming languages, syntax, and common coding patterns.
2. Input Processing: When a user provides a prompt, the model processes it to understand the desired outcome. Prompts can be in the form of natural language descriptions, code snippets, or a combination of both.
3. Code Generation: The model then generates code by predicting the most likely sequence of tokens (characters or words) that will fulfill the prompt's requirements. This process involves complex algorithms and statistical modeling.
4. Refinement: The generated code often undergoes refinement or optimization processes to improve its quality, efficiency, and readability.

How is Their Efficiency Measured?

The efficiency of code generator models is evaluated using various metrics:

• Accuracy: The ability of the model to generate correct and functional code.
• Quality: The quality of the generated code in terms of readability, maintainability, and efficiency.
• Speed: The time taken by the model to generate code.
• Diversity: The ability of the model to generate different code solutions for the same problem.
• Human Evaluation: Expert programmers assess the generated code for its overall quality and usability.

Benchmarks for Code Generator Models

Several benchmarks have been developed to evaluate the performance of code generator models:

• HumanEval: Measures the ability of models to generate correct code for human-written programming problems.
• Codex-Human: Assesses the quality of generated code by comparing it to human-written code.
• Codeforces: Evaluates model performance on competitive programming problems.

Code Generator Models and Recent Advances

The field of code generation is rapidly evolving, with new models and advancements emerging continuously. Here are some notable models and recent developments:

• OpenAI Codex: One of the earliest and most influential code generator models, powering GitHub Copilot.
• Vertext AI: Use AI to generate code with human language prompts.
• Amazon Q Developer: Amazon Q Developer generates real-time code suggestions ranging from snippets to full functions based on your comments and existing code.
• Tabnine - Streamline the full software development life cycle with AI.
• Alpha Code - not yet public.
• Code T5 - CodeT5 is an open AI code generator that helps developers create reliable and bug-free code quickly and easily.
• Polycoder - Polycoder is an open-source alternative to OpenAI Codex.
• Code Llama - code generation tool from Meta.
• Claude 3 - All Claude 3 models show increased capabilities in analysis and forecasting, nuanced content creation, code generation

Code generator models have the potential to revolutionize software development by automating routine coding tasks, improving developer productivity, and enabling the creation of more complex and innovative applications.

Further Reading: Research paper

Disclosure: The AI Code Generator Model primer and related content in the article was written with the help of Google Gemini. Please write to us in case of any gaps.

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