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AI verification has been a serious issue for a while now. While large language models (LLMs) have advanced at an incredible pace, the challenge of proving their accuracy has remained unsolved. Anthropic is trying to solve this problem, and out of all of the big AI companies, I think they have the best shot. The company has released Citations , a new API feature for its Claude models that changes how the AI systems verify their responses.
The Chinese AI model is the recent advancements in reinforcement learning (RL) with large language models (LLMs) that have led to the development of Kimi k1.5, a model that promises to reshape the landscape of generative AI reasoning. This article explores the key features, innovations, and implications of Kimi k1.5, drawing insights from the research […] The post After DeepSeek, Kimi k1.5 Outshines OpenAI o1 appeared first on Analytics Vidhya.
Alibaba’s response to DeepSeek is Qwen 2.5-Max, the company’s latest Mixture-of-Experts (MoE) large-scale model. Qwen 2.5-Max boasts pretraining on over 20 trillion tokens and fine-tuning through cutting-edge techniques like Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). With the API now available through Alibaba Cloud and the model accessible for exploration via Qwen Chat, the Chinese tech giant is inviting developers and researchers to see its b
Beam search is a powerful decoding algorithm extensively used in natural language processing (NLP) and machine learning. It is especially important in sequence generation tasks such as text generation, machine translation, and summarization. Beam search balances between exploring the search space efficiently and generating high-quality output. In this blog, we will dive deep into the […] The post What is Beam Search in NLP Decoding?
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Microsoft and OpenAI are investigating a potential breach of the AI firms system by a group allegedly linked to Chinese AI startup DeepSeek. According to Bloomberg , the investigation stems from suspicious data extraction activity detected in late 2024 via OpenAIs application programming interface (API), sparking broader concerns over international AI competition.
Have you been keeping tabs on the latest breakthroughs in Large Language Models (LLMs)? If so, youve probably heard of DeepSeek V3one of the more recent MoE (Mixture-of-Expert) behemoths to hit the stage. Well, guess what? A strong contender has arrived, and its called Qwen2.5-Max. Today, well see how this new MoE model has been […] The post How to Access Qwen2.5-Max?
Have you been keeping tabs on the latest breakthroughs in Large Language Models (LLMs)? If so, youve probably heard of DeepSeek V3one of the more recent MoE (Mixture-of-Expert) behemoths to hit the stage. Well, guess what? A strong contender has arrived, and its called Qwen2.5-Max. Today, well see how this new MoE model has been […] The post How to Access Qwen2.5-Max?
UVeye , the global leader in AI-driven vehicle inspection technology, has secured a $191 million extension to its Series D funding round, bringing total funding to $380.5 million. This latest infusioncombining equity and debtaims to solidify UVeyes position as the market leader and support its rapid global expansion to meet surging demand for its cutting-edge technology, described as an MRI for vehicles.
DeepSeek has taken the AI community by storm, with 68 models available on Hugging Face as of today. This family of open-source models can be accessed through Hugging Face or Ollama, while DeepSeek-R1 and DeepSeek-V3 can be directly used for inference via DeepSeek Chat. In this blog, well explore DeepSeek’s model lineup and guide you […] The post How to Run DeepSeek Models Locally in 5 Minutes?
Imagine trying to drive a Ferrari on crumbling roads. No matter how fast the car is, its full potential is wasted without a solid foundation to support it. That analogy sums up todays enterprise AI landscape. Businesses often obsess over shiny new models like DeepSeek-R1 or OpenAI o1 while neglecting the importance of infrastructure to derive value from them.
DeepSeek has already made its name in the list of top AI models. Thanks to the recent launch of its V3 model, followed by the even better, R1 model. While its growing to be our go-to AI chatbot on our laptops, does it also hold power on our mobile phones? Lets find out by comparing […] The post Is the DeepSeek Mobile App Better Than ChatGPT? appeared first on Analytics Vidhya.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
Aditya K Sood (Ph.D) is the VP of Security Engineering and AI Strategy at Aryaka. With more than 16 years of experience, he provides strategic leadership in information security, covering products and infrastructure. Dr. Sood is interested in Artificial Intelligence (AI), cloud security, malware automation and analysis, application security, and secure software design.
China and the USA have long been leaders in science, technology, and innovation, and the AI space is no exception. But whos ahead now? Six months ago, the U.S. was the clear frontrunner. However, Chinas impressive comeback with models like Qwen 2.5, DeepSeek R1, V3, Janus Pro, and Kiki k1.5 has made the answer far […] The post China vs USA: Who is Losing the AI Race?
Last Updated on January 29, 2025 by Editorial Team Author(s): Vishwajeet Originally published on Towards AI. How to Become a Generative AI Engineer in 2025? Photo by Andrea De Santis on Unsplash Artificial Intelligence (AI) has revolutionized the way we interact with technology, and Generative AI is at the forefront of this transformation. From creating art and music to generating human-like text and designing virtual worlds, Generative AI is reshaping industries and opening up new possibilities
YOLO models have made significant contributions to computer vision in various applications, such as object detection, segmentation, pose estimation, vehicle speed detection, and multimodal tasks. While understanding their applications is crucial, it’s equally important to know how these models are built and how they work. This article will focus on that aspect.
The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
Author(s): Mohit Sewak, Ph.D. Originally published on Towards AI. Artificial Super Intelligence (ASI): The Research Frontiers to Achieve AGI to ASI and the Challenges for Humanity Examining the Latest Research Advancements and Their Implications for ASI Development The Research Frontiers to Achieve AGI to ASI Introduction: A Cup of Tea with the Future Picture this: Im sipping my favorite masala tea, pondering humanitys most mind-bending question: Can machines ever surpass us in intelligence?
Text-to-speech (TTS) technology has evolved rapidly, allowing natural and expressive voice generation for a various applications. One standout model in this domain is Kokoro TTS, a cutting-edge TTS model known for its efficiency and high-quality speech creation. Kokoro-82M is a Text-to-Speech model consisting of 82 million parameters. Despite its significantly small size (82 million parameters), […] The post Kokoro-82M: Compact, Customizable, and Cutting-Edge TTS Model appeared first on An
Last Updated on January 29, 2025 by Editorial Team Author(s): Pranjal Khadka Originally published on Towards AI. Fine-tuning large language models (LLMs) has become an easier task today thanks to the availability of low-code/no-code tools that allow you to simply upload your data, select a base model and obtain a fine-tuned model. However, it is important to understand the fundamentals before diving into these tools.
Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. Intelligent document processing , translation and summarization, flexible and insightful responses for customer support agents, personalized marketing content, and image and code generation are a few use cases using generative AI that organizations are rolling out in production.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Last Updated on January 29, 2025 by Editorial Team Author(s): Florian June Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. This article is the 23rd in this compelling series. Today, we will explore three intriguing topics in AI, which are: KAG: Brilliant Detective Who Masters Evidence and Connects the DotsAlphaMath: The Brilliance of AlphaGos Insights in LLM ReasoningLLM Inference: Offloading Exquisite Video Imagery: Open-source code: [link]
Most data pruning techniques for machine learning models achieve strong overall accuracy while secretly making the models more biased. A new paper, DRoP: Distributionally Robust Pruning , by recent CDS PhD graduate Artem Vysogorets , now a machine learning engineer at Rockefeller University, CDS Silver Professor Julia Kempe , and Meta FAIRs Kartik Ahuja, reveals this troubling trade-off and proposes a solution.
Author(s): Aleti Adarsh Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Have you ever felt like the world of machine learning is moving so fast that you can barely keep up? Trust me, Ive been there too. One day, its all about supervised learning and the next, people are throwing around terms like self-supervised learning as if its the holy grail of AI.
China-based DeepSeek has exploded in popularity, drawing greater scrutiny. Case in point: Security researchers found more than 1 million records, including user data and API keys, in an open database.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Last Updated on January 29, 2025 by Editorial Team Author(s): Aleti Adarsh Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. We have seen how Machine learning has revolutionized industries across the globe during the past decade, and Python has emerged as the language of choice for aspiring data scientists and seasoned professionals alike.
Author(s): Dwaipayan Bandyopadhyay Originally published on Towards AI. Today, in this article, I will give a detailed walkthrough about how we can leverage MongoDBs own Atlas as a Vector Search Index and Embedding model and LLM served as an endpoint in the Databricks portal to do Retrieval Augmented Generation (RAG) on a piece of data. Source : Image by Author In todays AI World, where large amounts of structured and unstructured data are generated daily, accurately using knowledge has become th
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
Summary: This article presents 10 engaging Deep Learning projects for beginners, covering areas like image classification, emotion recognition, and audio processing. Each project is designed to provide practical experience and enhance understanding of key concepts in Deep Learning. Ideal for those looking to build a portfolio and gain hands-on skills in AI.
Author(s): Aleti Adarsh Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Non-Members can read this article for free :- link Before we dive into the intricacies of handling missing values and improving your dataset, here are a few things I want to share with you: ➜ Resources at Your Fingertips:All the resources youll need, including code snippets, the Colab notebook link, dataset links, and references, are provided at the end of this art
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