Vanita.ai

Machine learning has rapidly evolved beyond experimental notebooks and isolated model development. Today, companies require production-grade ML systems that are reliable, scalable, maintainable, and continuously improving. However, bridging the gap between academic machine learning knowledge and real-world industry practices remains a challenge for many developers. This is where the Made With ML repository by Goku … Read more

In today’s rapidly evolving artificial intelligence landscape, Generative AI agents have emerged as one of the most transformative developments. These agents do not just generate text; they reason, plan, collaborate, call tools, analyze data, and operate autonomously to complete complex tasks. Whether used in research, business automation, creative industries, or software development, modern AI agents … Read more

Artificial Intelligence is evolving rapidly, and one of the most transformative concepts emerging from this evolution is the rise of AI agents. These are intelligent systems capable of performing tasks, reasoning about goals, interacting with tools, and autonomously completing complex workflows. To help new learners enter this exciting domain, Microsoft has introduced the AI Agents … Read more

As AI systems continue to evolve, the way we communicate with them has transformed into a new skillset known as prompt engineering. Whether you are a developer, researcher, student, or AI enthusiast, the ability to design effective prompts can dramatically enhance the output quality and reliability of large language models (LLMs). The growing importance of … Read more

As artificial intelligence systems grow more advanced, the challenges around controlling them become more critical. Developers building customer-facing AI agents consistently struggle with issues like hallucinations, poor rule-following, unpredictable behavior, and inconsistency across conversations. Traditional prompt-engineering approaches are no longer enough to build trustworthy, production-ready AI agents. This is where Parlant, an open-source AI agent … Read more

The field of speech technology has witnessed a transformative shift in recent years, powered by the rise of self-supervised learning (SSL). Instead of relying on large amounts of labeled data, self-supervised models learn from the patterns and structures inherent in raw audio, enabling powerful and general-purpose speech representations. At the forefront of this innovation stands … Read more