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 rapid evolution of large language models (LLMs) has redefined how industries approach automation, content creation, data analysis, and decision-making. While tech giants have been scaling models with billions of parameters to achieve superior performance, an equally important challenge has emerged: how do we make LLMs more efficient without compromising their reasoning ability and accuracy? … Read more
Artificial Intelligence has rapidly evolved from rule-based programs into systems capable of learning, adapting, and reasoning. However, most AI models today operate within specific boundaries—they can play chess, drive a car, or generate text but they struggle to perform in open, unpredictable environments where complex reasoning and real-time actions are required. Enter Lumine, a groundbreaking … Read more
In today’s digital era, organizations around the world deal with vast numbers of documents – PDFs, scanned images, reports, invoices and forms in multiple languages and formats. Extracting, understanding, and organizing this information efficiently has become a crucial challenge. Optical Character Recognition (OCR) has been a long-standing solution, but traditional OCR tools often struggle with … Read more
Artificial Intelligence and Machine Learning have become two of the most in-demand fields today, transforming industries such as healthcare, finance, retail, education and even entertainment. With new advancements happening every day, beginners often feel overwhelmed, confused about where to start and unsure of the correct learning sequence. This is exactly why a structured roadmap can … 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
The demand for efficient and powerful large language models (LLMs) continues to rise as developers and researchers seek new ways to optimize reasoning, coding, and conversational AI performance. One of the most impressive open-source AI systems available today is Kimi K2 Thinking, created by Moonshot AI. Through collaboration with Unsloth, users can now fine-tune and … Read more
India is one of the most linguistically diverse countries in the world, home to over 1,600 languages and dialects. Yet, speech technology for most of these languages has historically lagged behind due to limited data and resources. While English and a handful of global languages have benefited immensely from advancements in automatic speech recognition (ASR), … Read more
The evolution of Automatic Speech Recognition (ASR) has reshaped how humans interact with technology. From dictation tools and live transcription to smart assistants and media captioning, ASR technology continues to bridge the gap between speech and digital communication. However, achieving real-time, high-accuracy transcription often comes at the cost of heavy computational requirements until now. Enter … Read more
Speech recognition has evolved rapidly over the past decade, transforming the way we interact with technology. From voice assistants to transcription services and real-time translation tools, the ability of machines to understand human speech has redefined accessibility, communication and automation. However, one of the major challenges that persisted for years was achieving robust, multilingual and … Read more