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OpenAIs o1 and o3-mini are advanced reasoning models that differ from the base GPT-4 (often referred to as GPT-4o) in how they process prompts and produce answers. These models are designed to spend more time thinking through complex problems, mimicking a human’s analytical approach. To leverage these models effectively, it’s crucial to understand how to […] The post 6 Insights from OpenAI’s Prompting Guide for Reasoning Models appeared first on Analytics Vidhya.
Adapting large language models for specialized domains remains challenging, especially in fields requiring spatial reasoning and structured problem-solving, even though they specialize in complex reasoning. Semiconductor layout design is a prime example, where AI tools must interpret geometric constraints and ensure precise component placement. Researchers are developing advanced AI architectures to enhance LLMs’ ability to process and apply domain-specific knowledge effectively.
o3-mini has proven to be OpenAIs most advanced model for coding and reasoning. The o3-mini (high) model has single-handedly outperformed other existing models like DeepSeek-R1 and Claude 3.5 in most standard benchmark tests. Owing to this, ChatGPT powered by o3-mini has now become an everyday companion for developers. It offers them an intelligent and efficient […] The post 10 o3-mini Prompts to Help with All Your Coding Tasks appeared first on Analytics Vidhya.
In large language models (LLMs), processing extended input sequences demands significant computational and memory resources, leading to slower inference and higher hardware costs. The attention mechanism, a core component, further exacerbates these challenges due to its quadratic complexity relative to sequence length. Also, maintaining the previous context using a key-value (KV) cache results in high memory overheads, limiting scalability.
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 Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
OpenAI is changing how it trains AI models to explicitly embrace intellectual freedom no matter how challenging or controversial a topic may be, the company says in a new policy.
Created Using Midjourney Next Week in The Sequence: We discuss Fusion RAG and its capabilities to extend RAG with sophisticated ranking techniques. We discuss the potential and limitations of continuous learning in foundation models. The engineering section dives into another awesome framework and we discuss large action models in our research edition.
Created Using Midjourney Next Week in The Sequence: We discuss Fusion RAG and its capabilities to extend RAG with sophisticated ranking techniques. We discuss the potential and limitations of continuous learning in foundation models. The engineering section dives into another awesome framework and we discuss large action models in our research edition.
While hundreds of millions of people are already getting a free ride on ChatGPT — grabbing limited use credits to automate writing and other apps — the free ride may be getting better. Essentially: ChatGPT’s maker is promising an upgrade — scheduled for release later this year — that will come with free, unlimited access to ChatGPT.
xAI, the artificial intelligence company founded by Elon Musk, is set to launch Grok 3 on Monday, Feb. 17. According to xAI, this latest version of its chatbot, which Musk describes as scary smart, represents a major step forward, improving reasoning, computational power and adaptability.
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.
In this tutorial, we’ll learn how to create a custom tokenizer using the tiktoken library. The process involves loading a pre-trained tokenizer model, defining both base and special tokens, initializing the tokenizer with a specific regular expression for token splitting, and testing its functionality by encoding and decoding some sample text.
Graph generation is a complex problem that involves constructing structured, non-Euclidean representations while maintaining meaningful relationships between entities. Most current methods fail to capture higher-order interactions, like motifs and simplicial complexes, required for molecular modeling, social network analysis, and protein design applications.
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
After the advent of LLMs, AI Research has focused solely on the development of powerful models day by day. These cutting-edge new models improve users experience across various reasoning, content generation tasks, etc. However, trust in the results and the underlying reasoning used by these models have recently been in the spotlight. In developing these models, the quality of the data, its compliance, and associated legal risks have become key concerns, as the models output depends on the underl
Large Language Models (LLMs) have shown exceptional capabilities in complex reasoning tasks through recent advancements in scaling and specialized training approaches. While models like OpenAI o1 and DeepSeek R1 have set new benchmarks in addressing reasoning problems, a significant disparity exists in their performance across different languages. The dominance of English and Chinese in training data for foundation models like Llama and Qwen has created a substantial capability gap for low-resou
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
The artificial intelligence gold rush has reached a fever pitch. Companies are throwing billionsno, trillionsat AI projects, slapping the "AI-powered" label on everything from email filters to coffee makers.
The integration of large language models (LLMs) into economic mechanisms represents a paradigm shift in how multi-agent systems collaborate to generate content. Google Research published a blog post on this through token auction model. By focusing on applications like AI-generated ad creatives, the framework enables self-interested LLM agents to influence joint outputs through strategic bidding while maintaining computational efficiency and incentive compatibility.
Venture capital has long been characterized as a cottage industry, where well-connected partners rely on their networks and experience to identify promising startups.
(To receive weekly emails of conversations with the worlds top CEOs and decisionmakers, click here.) Matt Garman took the helm at Amazon Web Services (AWS), the cloud computing arm of the U.S. tech giant, in June, but he joined the business around 19 years ago as an intern.
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.
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.
Artificial intelligence could eventually help us understand when animals are in pain or showing other emotions at least according to researchers recently profiled in Science.
In partnership with the Basque Center on Cognition, Brain, and Language, Meta has created an AI model that can reconstruct sentences from brain activity with an accuracy of up to 80%. Meta's artificial intelligence research team is advancing towards the interpretation of human thoughts.
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