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Showing posts with label Secure Coding. Show all posts
Technology
AI Model data security GPT-4 Secure Coding Technology

Phind-70B: Transforming Coding with Unmatched Speed and Precision

 

In the dynamic realm of technology, a luminary is ascending—Phind-70B. This transformative force in coding combines speed, intelligence, and a resolute challenge to GPT-4 Turbo, promising to redefine the coding paradigm. Rooted in the robust CodeLlama-70B foundation and fortified with an additional 50 billion tokens, Phind-70B operates at a breathtaking pace, impressively delivering a remarkable 80 tokens per second. 

It's not merely about velocity; Phind-70B excels in both rapidity and precision, setting it apart as a coding virtuoso. Distinctively, Phind-70B navigates intricate code and comprehends deep context with a 32K token window. This AI model isn't just about quick responses; it crafts high-quality, bespoke code aligned precisely with the coder's intent, elevating the coding experience to unparalleled heights. 

Numbers tell a compelling story, and Phind-70B proves its mettle by triumphing over GPT-4 Turbo in the HumanEval benchmark. While its score marginally lags in Meta's CRUXEval dataset, the real-world coding prowess of Phind-70B shines through, securing its place as a game-changing coding ally. At the heart of Phind-70B's triumph is TensorRT-LLM, a groundbreaking technology from NVIDIA, harnessed on the latest H100 GPUs. 

This not only propels Phind-70B to remarkable speed but ensures unparalleled efficiency, allowing it to think four times faster than its closest rival. Accessible to all, Phind-70B has forged strategic partnerships with cloud giants SF Compute and AWS. Coders can seamlessly embrace the coding future without cumbersome sign-ups, and for enthusiasts seeking advanced features, a Pro subscription is readily available. 

The ethos of the Phind-70B team is grounded in knowledge sharing. Their commitment is evident in plans to release weights for the Phind-34B model, with the ultimate goal of making Phind-70B's weights public. This bold move aims to foster community growth, collaboration, and innovation within the coding ecosystem. Phind-70B transcends its identity as a mere AI model; it signifies a monumental leap forward in making coding faster, smarter, and more accessible. 

Setting a new benchmark for AI-assisted coding with its unparalleled speed and precision, Phind-70B emerges as a revolutionary tool, an indispensable ally for developers navigating the ever-evolving coding landscape. The tech world resonates with anticipation as Phind-70B promises to not only simplify and accelerate but also elevate the coding experience. With its cutting-edge technology and community-centric approach, Phind-70B is charting the course for a new era in coding. Brace yourself to code at the speed of thought and precision with Phind-70B.
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Technology
Artificial Intelligence IT Sector NVIDIA Secure Coding Technology

Nvidia CEO Believes AI Would Kill Coding

 

When ChatGPT was first made public by OpenAI in November 2022, many were taken aback by its abilities. People discovered an array of opportunities for the AI chatbot, ranging from asking it to write poetry and music to debug and coding. Companies like Google and Microsoft also quickly released their own chatbots, Bard (now Gemini) and Bing. With ChatGPT, the popularity of generative AI reached new heights. 

AI has been heralded by many as the future. Notable figures in the IT industry, including Sam Altman, Satya Nadella, Bill Gates, and Sundar Pichai, have already spoken on the possible effects of AI on labour markets, highlighting its significance. While some IT professionals think AI will result in job losses in the IT industry, others think it will open up more opportunities. 

CEO of Nvidia Jensen Huang agrees that AI will have an impact on the labour market and argues that anyone can become a programmer with this new technology, so children don't need to learn how to code. 

The Nvidia CEO can be seen speaking at an event in a video that has gone viral. He claims that a decade or so ago, the consensus was that everyone should learn how to code. Now, however, things are entirely different because of artificial intelligence; everyone is a coder. He also said that children don't need to learn how to code and that it is our responsibility to create technology that would enable human language to be used in programming. Put another way, computers should be able to understand human language, minimising the necessity for coding languages like C++ or Java.

He explains, "Over the last 10-15 years, almost everybody who sits on a stage like this would tell you that it is vital that your children learn computer science, everybody should learn how to program. In fact, it is almost exactly the opposite. It is our job to create computing technology such that nobody has to program, and that the programming language is human. Everybody in the world is now a programmer. This is the miracle of AI."

"You now have a computer that will do what you tell it to do. It is vital that we upskill everyone and the upskilling process will be delightful and surprising,” Huang added. 

This is not the first time the Nvidia CEO has spoken about AI's ubiquitous effect across sectors. As one of the world's leading chipmakers, Nvidia was instrumental in the development of ChatGPT, which made use of hundreds of Nvidia GPUs. 

Huang announced the closure of the "digital divide" at a gathering held at the Computex convention in Taiwan last year. He emphasised how AI is bringing about a new era of computing, when previously unthinkable tasks are made possible. Huang highlighted how programming is now accessible to almost anyone, saying that all it takes to become a programmer is some computer involvement.
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Technology
AlphaCodium Artifcial Intelligence CodiumAI Developers Secure Coding Technology

AlphaCodium: Your New Coding Assistant

 


Meet AlphaCodium, the latest creation from CodiumAI, taking AI code generation to the next level, leaving Google's AlphaCode in its digital dust. Forget complicated terms; AlphaCodium simply means smarter, more accurate coding. Instead of following a set script, it learns and refines its code through a back-and-forth process, making it work more like how we humans tackle problems. Think of it like a super-smart sidekick for developers, helping them build faster and with zero bugs. So, get ready for a coding revolution – AlphaCodium is here to make programming easier, more efficient, and, most importantly, error-free.

AlphaCodium's success is attributed to its innovative 'flow engineering' method, shifting from a traditional prompt: answer approach to a dynamic iterative process. Unlike its predecessors, it incorporates elements of Generative Adversarial Network (GAN) architecture, developed by Ian Goodfellow in 2014. This includes a model for code generation and an adversarial model ensuring code integrity through testing, reflection, and specification matching.

The process begins with input, followed by pre-processing steps where AlphaCodium reflects on the problem, leading to an initial code solution. Subsequently, it generates additional tests to refine the solution iteratively, ultimately reaching a final functional code.

CodiumAI's mission, as stated on its website, is to "enable developers to build faster with zero bugs." The startup, founded in 2022, raised $10.6 million in March 2023. AlphaCodium's performance, tested on the CodeContests dataset containing 10,000 competitive programming problems, showcased an impressive improvement in accuracy from 19% to 44% compared to GPT-4.

Andrej Karpathy, previously director of AI at Tesla and now with OpenAI, highlighted AlphaCodium's 'flow engineering' as a revolutionary approach to improve code generation. This method not only allows the AI to generate boilerplate code but also ensures the generated code is accurate and functional.


CodiumAI's CEO on AlphaCodium's Significance

CodiumAI's CEO, Itamar Friedman, emphasised that AlphaCodium is not merely a model but a comprehensive system and algorithm facilitating a dynamic 'flow' of communication between a code-generating model and a 'critic' model. This approach, termed 'flow engineering,' distinguishes AlphaCodium as a groundbreaking solution.

Friedman acknowledges OpenAI (developer of Codex) and Google DeepMind as rivals but emphasises that the real competition lies in advancing code integrity technology. He sees AlphaCodium as the next generation of code integrity, aligning not only with specifications but also with cultural documents, beliefs, and guidelines of the developer community. 

Friedman expressed inspiration from DeepMind's work but highlighted the absence of 'flow engineering' in Google DeepMind's AlphaCode. He suggests that the mainstream narrative focused on improving large language models might be overlooking the essential aspect of creating a flow for effective code generation.


To look at it lucidly, AlphaCodium represents a shift in the AI coding mechanism, asserting the importance of a continuous 'flow' in generating not just code but accurate and functional solutions. The implementation of 'flow engineering' marks a significant departure from conventional methods, offering a more dynamic and iterative approach to generate accurate and functional code. 

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Security Course
Ethical Hacking Course Hacking and Securing application Secure Coding Security Course

Free Courses On Secure Coding Brought To You By Cyber Security and Privacy Foundation

Safety and security is paramount especially when it comes to anything on the gigantic world web.

To address this very underlying issue Cyber Security and Privacy Foundation imparts free courses on secure coding on various platforms like PHP and Java.

By way of interactive PPTs, digital sessions and copious notes on secure and safe coding, the publications by CSPF make coding as easy as breathing.

The following are the fundamental subjects discussed:

HACKING AND SECURING PHP AND JAVA
1. Injection
2. Broken Authentication and Session Management
3. XSS
4. IDOR
5. Security Misconfiguration
6. Sensitive Data Exposure.
7. Missing Function Level Access Control
8. CSRF
9. Using Known Vulnerable Components
10. Open Redirect & Forward

ASP VULNERABLE LAB
This is an interactive web application developed by CSPF. This application works upon the requisites for the ASP.net programmers and anyone who possesses a keen interest in coding and programming.

This is an amazing platform for people who are inclined towards coding and wish to do so in a secure environment.

The publications work equally well for developers and security researchers.

It also induces budding security researchers and programming mongers to come forward and learn via a comprehensive approach.

PHP Security Course:
https://github.com/CSPF-Founder/PHPSecurityCourse

Java Security Course:
https://github.com/CSPF-Founder/JavaSecurityCourse

ASP Vulnerable Lab and Notes:
https://github.com/CSPF-Founder/ASPVulnerableLab
 
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