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Fine-tuning large language models (LLMs) is essential for optimizing their performance in specific tasks. OpenAI provides a robust framework for fine-tuning GPT models, allowing organizations to tailor AI behavior based on domain-specific requirements. This process plays a crucial role in LLM customization, enabling models to generate more accurate, relevant, and context-aware responses.Fine-tuned LLMs can be […] The post Fine-Tuning a Model Using OpenAI Platform for Customer Query Support
The relentless hype around AI makes it difficult to separate the signal from the noise.So its understandable if youve tuned out recent talk about autonomous AI agents.A word of advice: Dont. The significance of agentic AI may actually exceed the hype. An Autonomous AI agent can interact with the environment, make decisions, take action, and learn from the process.
Grok 3 – Elon Musk and xAi’s latest AI model is the talk of the town these days. From Andrej Karpathy to tech influencers, everyone is talking about the capabilities of this new model. Initially, access was limited to Premium+ users on X, leaving many eager to try it out. However, Elon Musk recently made […] The post 5 Grok 3 Prompts that Can Make Your Work Easy!
In my ground-breaking paper 51 available here, I paved the way to solve a famous multi-century old math conjecture. The question is whether or not the digits of numbers such as are evenly distributed. Currently, no one knows if the proportion of ‘1’ even exists in these binary digit expansions.
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 Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Large language models (LLMs) are limited by complex reasoning tasks that require multiple steps, domain-specific knowledge, or external tool integration. To address these challenges, researchers have explored ways to enhance LLM capabilities through external tool usage. By leveraging pre-built tools, AI systems can handle more intricate problem-solving scenarios, including real-world decision-making, multi-step reasoning, and specialized domain applications.
TL;DR: Tackle creative and professional tasks faster with 1minAI’s lifetime Advanced Business Plan subscription for just A$156 (reg. A$847). Opens in a new window Credit: 1minAI 1min.AI Advanced Business Plan Lifetime Subscription A$156.00 at the Mashable Shop A$847.00 Save A$691.00 Get Deal If your goal this year is to work smarter, not harder, you’re not alone.
TL;DR: Tackle creative and professional tasks faster with 1minAI’s lifetime Advanced Business Plan subscription for just A$156 (reg. A$847). Opens in a new window Credit: 1minAI 1min.AI Advanced Business Plan Lifetime Subscription A$156.00 at the Mashable Shop A$847.00 Save A$691.00 Get Deal If your goal this year is to work smarter, not harder, you’re not alone.
Humans have an innate ability to process raw visual signals from the retina and develop a structured understanding of their surroundings, identifying objects and motion patterns. A major goal of machine learning is to uncover the underlying principles that enable such unsupervised human learning. One key hypothesis, the predictive feature principle, suggests that representations of consecutive sensory inputs should be predictive of one another.
We say this every week, but what a week it's been in tech we've seen a new iPhone launched, reviewed the world's thinnest foldable phone and done a huge survey on how you're all using AI. And that's before we get onto James Bond getting a new boss (it's not a toy, Amazon) and our first impressions of the new OnePlus Watch 3. Been a bit busy? Here's all of last week's news in one handy firmware update for your brain.
Training large language models (LLMs) has become central to advancing artificial intelligence, yet it is not without its challenges. As model sizes and datasets continue to grow, traditional optimization methodsmost notably AdamWbegin to show their limitations. One of the main difficulties is managing the computational cost and ensuring stability throughout extended training runs.
Debates over AI benchmarks and how theyre reported by AI labs are spilling out into public view. This week, an OpenAI employee accused Elon Musks AI company, xAI, of publishing misleading benchmark results for its latest AI model, Grok 3.
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.
Large Language Models (LLMs) face significant challenges in complex reasoning tasks, despite the breakthrough advances achieved through Chain-of-Thought (CoT) prompting. The primary challenge lies in the computational overhead introduced by longer CoT sequences, which directly impacts inference latency and memory requirements. The autoregressive nature of LLM decoding means that as CoT sequences grow longer, there is a proportional increase in processing time and memory usage in attention layers
Patchscopes Large Language Models (LLMs) have revolutionized the field of artificial intelligence, demonstrating remarkable capabilities in natural language understanding and generation. These models, comprised of layers of interconnected artificial neurons, communicate through vectors of numbers known as hidden representations. However, deciphering the meaning encoded within these hidden representations has been a significant challenge.
For Lisa Parry, a 12th grade teacher in South Dakota, the students' essays were getting stale. Her solution: get the students to turn to ChatGPT which serves up fresh ideas.
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
LLM-based multi-agent (LLM-MA) systems enable multiple language model agents to collaborate on complex tasks by dividing responsibilities. These systems are used in robotics, finance, and coding but face challenges in communication and refinement. Text-based communication leads to long, unstructured exchanges, making it hard to track tasks, maintain structure, and recall past interactions.
Welcome back to Week in Review. This week were looking at the internal chaos surrounding HPs $116 million acquisition of AI Pin maker Humane; Mira Muratis new AI venture coming out of stealth; Duolingo killing its iconic owl mascot with a Cybertruck; and more! Lets get into it.
Hello dear reader! Hope you’re good. Did you know Support Vector Regression (SVR) represents one of the most powerful predictive modeling techniques in machine learning? As an extension of Support Vector Machines (SVM) , Support Vector Regression has revolutionized how data scientists approach complex regression problems. In this comprehensive guide, we’ll explore everything you need to know about SVR in machine learning, from fundamental concepts to advanced implementations.
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
In this tutorial, we explore how to fine-tune NVIDIA’s NV-Embed-v1 model on the Amazon Polarity dataset using LoRA (Low-Rank Adaptation) with PEFT (Parameter-Efficient Fine-Tuning) from Hugging Face. By leveraging LoRA, we efficiently adapt the model without modifying all its parameters, making fine-tuning feasible on low-VRAM GPUs. Steps to the implementation in this tutorial can be broken into the following steps: Authenticating with Hugging Face to access NV-Embed-v1 Loading and configu
Abu Dhabi, United Arab Emirates - February 21, 2025 AI-powered military equipment took center stage at the 2025 International Defense Exhibition and Conference (IDEX) and the Naval Defense and Maritime Security Exhibition (NAVDEX), which concluded on Friday in Abu Dhabi, the capital of the United Arab Emirates (UAE). Around 1,560 defense companies from 65 countries participated in the five-day event to showcase their latest defense technologies and solutions, attracting more than 150,000 visitor
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.
De verzekeringssector wordt al jarenlang onder de loep genomen vanwege fair bias-praktijken. Slechte data in bedrijfspraktijken en vooroordelen zijn inderdaad typische kenmerken van verzekeringsmaatschappijen. Helaas leidt dit tot gemarginaliseerde bevolkingsgroepen. Volgens bepaalde experts in de sector - waaronder een voormalig verzekeringscommissaris in de VS - zal het grootste probleem op [.
For the first time in history, we may be approaching a world where an entire generation will never have to work in the traditional sense. Pause and think about that for a moment. Imagine a reality where labor, as weve known it for centuries, is no longer essential for survival.
By now, weve all heard the gospel of AI and how it will change everything as we know it. And yet, for every CEO who has found efficiency gains, there are two others who have been burned by a misaligned deployment or an AI vendor failing to deliver on their promises.
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.
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