Unite.AI
FEBRUARY 1, 2025
The headlines keep coming. DeepSeek's models have been challenging benchmarks, setting new standards, and making a lot of noise. But something interesting just happened in the AI research scene that is also worth your attention. Allen AI quietly released their new Tlu 3 family of models, and their 405B parameter version is not just competing with DeepSeek – it is matching or beating it on key benchmarks.
Marktechpost
FEBRUARY 1, 2025
Agentic AI gains much value from the capacity to reason about complex environments and make informed decisions with minimal human input. The first article of this five-part series focused on how agents perceive their surroundings and store relevant knowledge. This second article explores how that input and context are transformed into purposeful actions.
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Unite.AI
FEBRUARY 1, 2025
Large language models (LLMs) have evolved significantly. What started as simple text generation and translation tools are now being used in research, decision-making, and complex problem-solving. A key factor in this shift is the growing ability of LLMs to think more systematically by breaking down problems, evaluating multiple possibilities, and refining their responses dynamically.
Analytics Vidhya
FEBRUARY 1, 2025
The wait is over – OpenAI o3-mini is finally here! OpenAI has just launched its latest reasoning model, o3-mini, promising faster and more accurate responses compared to its predecessors. The model is now available on the ChatGPT interface and its API services. In this article we will cover the key features of o3-mini and see […] The post OpenAI o3-mini: Performance, How to Access, and More appeared first on Analytics Vidhya.
Speaker: Jason Chester, Director, Product Management
In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.
Marktechpost
FEBRUARY 1, 2025
Multi-vector retrieval has emerged as a critical advancement in information retrieval, particularly with the adoption of transformer-based models. Unlike single-vector retrieval, which encodes queries and documents as a single dense vector, multi-vector retrieval allows for multiple embeddings per document and query. This approach provides a more granular representation, improving search accuracy and retrieval quality.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Marktechpost
FEBRUARY 1, 2025
LLMs have demonstrated impressive cognitive abilities, making significant strides in artificial intelligence through their ability to generate and predict text. However, while various benchmarks evaluate their perception, reasoning, and decision-making, less attention has been given to their exploratory capacity. Exploration, a key aspect of intelligence in humans and AI, involves seeking new information and adapting to unfamiliar environments, often at the expense of immediate rewards.
Analytics Vidhya
FEBRUARY 1, 2025
In todays fast-paced business environment, organizations are inundated with data that drives decisions, optimizes operations, and maintains competitiveness. However, extracting actionable insights from this data remains a significant hurdle. A Retrieval-Augmented Generation (RAG) system, when integrated with Agentic AI, tackles this challenge by not only retrieving relevant information but also processing and delivering context-aware insights […] The post Building a RAG System for Smart De
Marktechpost
FEBRUARY 1, 2025
Understanding implicit meaning is a fundamental aspect of human communication. Yet, current Natural Language Inference (NLI) models struggle to recognize implied entailmentsstatements that are logically inferred but not explicitly stated. Most current NLI datasets are focused on explicit entailments, making the models insufficiently equipped to deal with scenarios where meaning is indirectly expressed.
How to Learn Machine Learning
FEBRUARY 1, 2025
Hello dear reader and welcome to the wonderful world of Machine Translation! Most of you have probably been using GPTs or similar tools to translate from one language to another. These tools are good for quick in-situ translations but lack other capabilities that might be needed by profesional writers, researchers, or others. The MachineTranslation.com Blog is a leading resource for AI-powered translation and multilingual communication.
Speaker: Matt Sunshine, CEO at The Center for Sales Strategy
AI isn’t replacing salespeople—it’s empowering them. The most forward-thinking sales organizations are using AI to enhance human performance rather than eliminate it. From coaching and messaging to prospecting and pipeline accountability, artificial intelligence is giving managers and SDRs the new tools they need to work smarter, sell better, and close more.
Marktechpost
FEBRUARY 1, 2025
Currently, three trending topics in the implementation of AI are LLMs, RAG , and Databases. These enable us to create systems that are suitable and specific to our use. This AI-powered system, combining a vector database and AI-generated responses, has applications across various industries. In customer support, AI chatbots retrieve knowledge base answers dynamically.
FEBRUARY 1, 2025
Thanks to the advent of cloud computing and distributed digital infrastructure, the one-person micro-enterprise is far from a novel concept.
Marktechpost
FEBRUARY 1, 2025
In our previous tutorial, we built an AI agent capable of answering queries by surfing the web. However, when building agents for longer-running tasks, two critical concepts come into play: persistence and streaming. Persistence allows you to save the state of an agent at any given point, enabling you to resume from that state in future interactions.
FEBRUARY 1, 2025
Earnings were weaker than expected, the near-term outlook is murky, EV sales are down, and Elon Musk is more distracted than ever before. But with a phalanx of loyal shareholders and a cowed board hes not going anywhere.
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Robots are a cornerstone of a smart factory, automating a wide range of manufacturing tasks that are monotonous, physically straining, or even hazardous. However, real-world robotics deployments have not lived up to the revolutionary potential the industrial sector had originally envisioned. Robot implementations are typically confined to specific applications, carry high costs, and are time-consuming.
Marktechpost
FEBRUARY 1, 2025
Large language models (LLMs) are developed specifically for math, programming, and general autonomous agents and require improvement in reasoning at test time. Various approaches include producing reasoning steps in response to some prompt or using sampling and training models to generate the same step. Reinforcement learning is more likely to give self-exploration and the ability to learn from feedback; however, their impact on complex reasoning has remained limited.
FEBRUARY 1, 2025
Cisco researchers found it was much easier to trick DeepSeek into providing potentially harmful information compared to its rivals, such as ChatGPT,
John Snow Labs
FEBRUARY 1, 2025
Clinical documentation is essential for patient care but remains a major administrative burden for healthcare providers. This session explores how AIdriven automation can generate structured SOAP (Subjective, Objective, Assessment, and Plan) notes from unstructuredinputs such as physician dictation and ambient patientdoctor conversations. The solution architecture is based on an AWS infrastructure backbone to provide for scalability and compliance, with a John Snow Labs Medical LLM to generate r
FEBRUARY 1, 2025
In the past week, OpenAIs Operator has done the following things for me: Ordered me a new ice cream scoop on Amazon. Bought me a new domain name and configured its settings. Booked a Valentines Day date for me and my wife. Scheduled a haircut.
Speaker: Beth Sunshine, SVP, Up Your Culture
When culture isn’t consistently lived out across the organization, engagement suffers—and it often starts with a disconnect at the top. In this session, Beth Sunshine, SVP of Up Your Culture at The Center for Sales Strategy, will reveal how HR and executive leaders can close the gap between vision and execution by equipping frontline and mid-level managers to become culture carriers.
John Snow Labs
FEBRUARY 1, 2025
Testing for Bias of Large Language Models in Clinical Applications The post Testing for Bias of Large Language Models in Clinical Applications appeared first on John Snow Labs.
FEBRUARY 1, 2025
When OpenAI released ChatGPT in 2022, the U.S. clearly led the world in artificial intelligence.
John Snow Labs
FEBRUARY 1, 2025
In an era where artificial intelligence is reshaping communication, audio deepfakes have emerged as both a groundbreaking innovation and a formidable security threat. Advances in generative AI now enable the creation of synthetic voices nearly indistinguishable from real ones, unlocking new possibilities in entertainment, accessibility, and automation.
FEBRUARY 1, 2025
DeepSeek adds urgency to the job-loss debate, why the China bubble never quite popped and a democratic case against Fed independence Welcome to the
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85% of teams are using AI, but only 27% report clear productivity gains. Why? Because most are still stuck in surface-level adoption. In this expert panel, top voices in workplace strategy and remote innovation—Dr. Gleb Tsipursky, Phil Kirschner, Nadia Harris, and Eryn Peters—reveal how leading teams are cutting digital noise, training AI to fit their workflows, and building cultures that embrace change.
John Snow Labs
FEBRUARY 1, 2025
Hallucination, and explainability in LLM are considered to be the most important threats when deploying production grade Agentic AI model in healthcare. Wepresent here anew architecture approach combining Graph RAG, Medical Ontologies, finedtuned NER, Multi Agent Models, combining both local and cloud computing for safe, secure, and efficient model deployment, using small dataset of public knowledge and real patient files in reproductive medicine in North Africa.
FEBRUARY 1, 2025
Researchers found that DeepSeek's R1 AI "failed to block a single harmful prompt" after being tested against 50 jailbreaking prompts.
John Snow Labs
FEBRUARY 1, 2025
Agentic AI is transforming insurance claims processing, enabling automation, scalability, and cost efficiency. This talk explores how RAG LLMs power specialized AI agents for Auto Bodily Injury, Workers Compensation, and General Liability claims, handling identity verification, intent classification, document processing, fraud detection, and claim negotiation with high accuracy.
FEBRUARY 1, 2025
To the casual observer, the Sun seems to be the one constant and never changing.
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The $53 trillion manufacturing economy in the US is undergoing a major automation paradigm shift due to Artificial Intelligence (AI). Thanks to new practical frameworks, automation projects that were once impossible or inefficient to implement are now being fast-tracked, and robotics automation is becoming increasingly relevant to a growing number of users and scenarios.
John Snow Labs
FEBRUARY 1, 2025
The convergence of artificial intelligence and wearable healthcare devices is revolutionizing patient care by enabling continuous monitoring, early disease detection, and personalized interventions. This presentation delves into the transformative potential of AIdriven analytics in healthcare, focusing on realtime physiological data processing to enhance decisionmaking and improve patient outcomes.
FEBRUARY 1, 2025
DeepSeek is making waves in the AI world, grabbing headlines and taking over the app stores, even beating out OpenAIs ChatGPT. But whats really happening behind the hype?
John Snow Labs
FEBRUARY 1, 2025
This is a deep dive into benchmarking methodologies for medical LLM and NLP models comparing accuracy, reliability, and applicability across Azure Health AI, AWS Comprehend Medical, GCP Healthcare Natural Language API, OpenAIs GPT 4.5, Claude Sonnet 3.7, and John Snow Labs Medical LLMs. Well survey benchmarks covering some of the most popular realworld applications of medical language models, including: Information extraction from clinical documentation Anonymization and de-identification Summar
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