Artificial Intelligence and Machine Learning explained

AI, or artificial intelligence, is technology that attempts to simulate human cognitive function. A  popular use case right now is ChatGPT, which allows you to conversationally ask questions to a chatbot and get back relevant information because the AI can understand what you’re asking in plain language. Beyond just answering questions, these AIs are capable of writing code, creating detailed plans based on your specifications, summarizing documents, and more.

AI has made its way into the software development space in a number of ways. AI can be baked into applications to improve end user experience by creating personalized recommendations and tailoring experiences to the end user. AI-assisted development tools can complete the piece of code you started writing, or even offer suggestions for how to improve your code. Generative AI chatbots, such as ChatGPT, can be used to ask for specific code snippets to perform a task, can explain what is happening in a piece of code, or can be used to troubleshoot why your code isn’t working as intended.

Read the articles below for more information on what you need to know about AI.

OpenAI’s o1 reasoning models are a significant step forward in complex reasoning

OpenAI has released the first preview for OpenAI o1, a new series of AI reasoning models that are able to handle more complex tasks than previous models. This is because they spend more time thinking through the problem before responding.  “We trained these models to spend more time thinking through problems before they respond, much … continue reading

Kong Konnect updates help companies prepare their API infrastructure for AI

Kong is hosting its API Summit 2024 event, and has made announcements about several improvements to its platforms. Key highlights are updates to Kong Konnect, its API management platform, which also includes new versions of Kong Insomnia, Kong Gateway, and Kong AI Gateway. The latest updates to Kong Konnect help companies further prepare their API … continue reading

Three considerations to assess your data’s readiness for AI

Organizations are getting caught up in the hype cycle of AI and generative AI, but in so many cases, they don’t have the data foundation needed to execute AI projects. A third of executives think that less than 50% of their organization’s data is consumable, emphasizing the fact that many organizations aren’t prepared for AI.  … continue reading

Anthropic announces Enterprise plan for Claude with expanded context windows, GitHub integration

Anthropic has announced the launch of its Claude Enterprise plan, which offers an expanded context window, more usage capacity, a native GitHub integration, and enterprise security features.  Claude Enterprise offers a 500K context window. For comparison, Claude Pro’s context window is 200K and the free beta has a varying limit based on demand. According to … continue reading

Data privacy and security in AI-driven testing

As AI-driven testing (ADT) becomes increasingly integral to software development, the importance of data privacy and security cannot be overstated. While AI brings numerous benefits, it also introduces new risks, particularly concerning intellectual property (IP) leakage, data permanence in AI models, and the need to protect the underlying structure of code.  The Shift in Perception: … continue reading

Survey reveals the usage and perception of AI in the overall workforce, beyond just the realm of software development

While many surveys on software developers have found that a majority of them are using AI to generate code, the story is different in the workforce overall. Zoho Corporation’s recently released Data Privacy and Generative AI Usage report reveals that only 24% of employees are using generative AI on a daily basis, and 37% said … continue reading

Sentence embedding technology in the age of artificial intelligence

Imagine searching for a crucial piece of information in a traditional search engine, only to be overwhelmed with thousands of irrelevant results. This limitation is especially problematic in critical industries like nuclear power, where precision and reliability are paramount. Enter sentence embeddings—a powerful, yet often overlooked technology that is set to transform how we access … continue reading

OSI releases latest draft of Open Source AI Definition

For the past two years, the Open Source Initiative (OSI) has been working on developing a definition for Open Source AI that the industry can use to determine which models are actually considered open, and it has a new draft of the definition to share as it nears the final release in October.  According to … continue reading

GitHub: Perceptions of AI vary widely in different countries

GitHub’s annual developer survey, which it launched for the first time last year, shows that a majority of developers (97%) have used an AI coding tool at some point, but perceptions of the technology vary country to country.  For its survey, GitHub surveyed 2,000 developers from the U.S., Brazil, Germany, and India, with an equal … continue reading

OpenAI launches fine-tuning for GPT-4o

Developers will now be able to fine-tune GPT-4o to get more customized responses that are suited to their unique needs. With fine-tuning, GPT-4o can be improved using custom datasets, resulting in better performance at a lower cost, according to OpenAI. For example, developers can use fine-tuning to customize the structure and tone of a GPT-4o … continue reading

Deepfakes: An existential threat to security emerges

For quite some time, discussion around the dangers of deepfakes were mostly rooted in the hypothetical — focusing on the question of how these tools could be used to cause harm, rather than real-world instances of misuse. However, it wasn’t long before some of those fears became realities. In January, a number of New Hampshire … continue reading

Codeium’s new Cortex assistant utilizes complex reasoning engine for coding help

Codeium has announced a new AI assistant called Cortex that uses complex reasoning capabilities to solve difficult coding problems.  Rather than enabling smaller, individual tasks such as autocomplete or code completion like existing code assistants, Cortex supports large scale reasoning, code generation, reviews, and knowledge transfer, with greater accuracy, lower latency, and reduced costs.  According … continue reading

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