Unite.AI

MARCH 5, 2025

A misstep in AI governance, a lack of oversight, or an overreliance on AI-generated insights based on inadequate or poorly kept data can result in anything from regulatory fines to AI-driven security breaches, flawed decision-making, and reputational damage.

Emotion AI 208

Emotion AI AI AI Automation 208

Unite.AI

JANUARY 28, 2025

The companys proprietary AI-powered tools enable retailers to create dynamic, engaging audio content tailored to local conditions, helping brands connect with customers in meaningful ways. Driving Innovation with AI-Driven Audio Solutions Qsics generative AI model, Lucy , is a game-changer in retail audio advertising.

Continuous Learning 147

Continuous Learning Automation Generative AI AI Modeling 147

Unite.AI

OCTOBER 23, 2024

The distilled model can then replace the original LLM, ensuring that privacy is maintained without the necessity for full model retraining. Continual Learning Systems : These techniques are employed to continuously update and unlearn information as new data is introduced or old data is eliminated.

LLM 316

LLM Large Language Models AI AI 316

Towards AI

JANUARY 29, 2025

Examples of Generative AI: Text Generation: Models like OpenAIs GPT-4 can generate human-like text for chatbots, content creation, and more. Music Generation: AI models like OpenAIs Jukebox can compose original music in various styles. Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1.

AI Engineer 98

AI Engineer Generative AI Neural Network BERT 98

Unite.AI

DECEMBER 26, 2024

The MoME offers an innovative and reliable approach to addressing the limitations of traditional AI models. The MoME is a new architecture that transforms how AI systems handle complex tasks by integrating specialized memory modules. Once deployed, MoME continues to learn and improve through reinforcement mechanisms.

LLM 147

LLM Chatbots AI AI 147

Unite.AI

JULY 25, 2023

Production-deployed AI models need a robust and continuous performance evaluation mechanism. This is where an AI feedback loop can be applied to ensure consistent model performance. But, with the meteoric rise of Generative AI , AI model training has become anomalous and error-prone.

Data Drift 246

Data Drift AI AI AI Modeling 246

Unite.AI

NOVEMBER 11, 2024

Our team maintains its technological edge through continuous learning and the participation in leading AI conferences. Our team continuously evolves how we leverage data, whether it is through more efficient mining of the data we have access to or augmenting the data with state-of-the-art generation technology.

Machine Learning 162

Machine Learning AI AI Natural Language Processing 162

Unite.AI

FEBRUARY 7, 2025

This is why we're moving away from the traditional command-based AI model. We believe AI should work in harmony with human attention rather than competing for it. How do you see AI wearables evolving over the next five years, and what role do you envision Bee playing in this ecosystem?

Continuous Learning 243

Continuous Learning AI AI Automation 243

Unite.AI

FEBRUARY 17, 2025

They build upon the foundations of predictive and generative AI but take a significant leap forward in terms of autonomy and adaptability. AI agents are not just tools for analysis or content generationthey are intelligent systems capable of independent decision-making, problem-solving, and continuous learning.

Automation 147

Automation Responsible AI Generative AI AI Modeling 147

AI News

JUNE 3, 2024

an AI language model meticulously developed and trained by TickLab.IO. Unlike other AI models like ChatGPT, Bard, or Grok, E.D.I.T.H. Our AI-driven approach extends beyond simple automation. We develop intelligent systems that continuously learn and improve, ensuring that our hedge fund stays ahead of the curve.

Deep Learning 308

Deep Learning Artificial Intelligence Artificial Intelligence Machine Learning 308

Unite.AI

OCTOBER 20, 2023

AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency. In 2022, companies had an average of 3.8

Responsible AI 283

Responsible AI Generative AI AI AI 283

Unite.AI

DECEMBER 26, 2024

Utilizing computer vision algorithms that process a steady stream of captured images, the radar-based technology continuously analyzes various room layouts, outdoor and indoor situations, circumstances with pets, and people of varying shapes, sizes, and ages to accurately classify and detect falls.

Convolutional Neural Networks 147

Convolutional Neural Networks Algorithm Neural Network Computer Vision 147

AI News

SEPTEMBER 27, 2024

. “From a quality standpoint, we believe that DBRX is one of the best open-source models out there and when we refer to ‘best’ this means a wide range of industry benchmarks, including language understanding (MMLU), Programming (HumanEval), and Math (GSM8K).”

Large Language Models 308

Large Language Models Big Data Explainability ETL 308

Unite.AI

OCTOBER 30, 2023

Improves quality: The effectiveness of AI is significantly influenced by the quality of the data it processes. Training AI models with subpar data can lead to biased responses and undesirable outcomes. AI/ML development is an ongoing process focused on delivering value without compromising quality.

DevOps 310

DevOps Software Development Automation Artificial Intelligence 310

Unite.AI

MARCH 25, 2025

The platform supports integration with popular AI models (like OpenAIs GPT-4) and allows fusion of these with rule-based logic giving you control over the AIs behavior. Help Center & Knowledge Base Built-in help center to host FAQs and guides, which doubles as training data for the AI assistant to pull answers fro.

Chatbots 130

Chatbots AI Chatbots Automation AI 130

Unite.AI

FEBRUARY 21, 2025

Grip Grip is an AI-powered event networking platform designed to facilitate meaningful business connections at events. It uses advanced machine learning algorithms to match conference attendees, exhibitors, and sponsors based on their interests and goals.

AI Tools 240

AI Tools AI AI ChatGPT 240

Unite.AI

MARCH 22, 2024

Cross-Modality Learning : Extending social learning beyond text to include images, sounds, and more could lead to AI systems with a richer understanding of the world, much like how humans learn through multiple senses. The focus would be on developing AI systems that can reason ethically and align with societal values.

Large Language Models 297

Large Language Models Artificial Intelligence Artificial Intelligence AI 297

Unite.AI

JANUARY 31, 2025

While the benchmark provides valuable insights into an AI system's reasoning capabilities, real-world implementation of AGI systems involves additional considerations such as safety, ethical standards, and the integration of human values. Implications for AI Developers ARC-AGI offers numerous benefits for AI developers.

AI 147

AI AI Robotics Continuous Learning 147

Unite.AI

DECEMBER 23, 2024

Scribenote Scribenote is an AI-powered clinical documentation system where machine learning processes veterinary conversations in real-time to generate comprehensive medical records. GoldieVet prioritizes accessibility across devices, enabling veterinary teams to capture and access records through smartphones, tablets, or computers.

Automation 162

Automation Machine Learning AI AI 162

Unite.AI

JANUARY 9, 2024

to ensure the technology is capable of continuously assessing risks in real-time and delivering to users the information needed to focus their actions and activities in ways that drive measurable outcomes. Continuous training. User input is critical to refinement and updates to ensure AI tools are meeting current and future needs.

Metadata 290

Metadata AI AI AI Tools 290

Unite.AI

JANUARY 21, 2025

As generative AI emerged, we adapted our AI Ethics assessment to address new ethical challenges. This iterative process has allowed us to stay ahead of potential issues, ensuring our AI technologies are developed and deployed responsibly.

Generative AI 130

Generative AI AI AI AI Developer 130

AWS Machine Learning Blog

MARCH 18, 2025

These advanced accelerators promise unparalleled computational performance, offering 3040% better price-performance than the current generation of GPU-based EC2 instances, significantly boosting AI model training and deployment efficiency and speed.

Machine Learning 108

Machine Learning AI AI ML 108

Unite.AI

SEPTEMBER 4, 2024

ML-driven Creative Targeting™: For each cohort, we use machine learning in collaboration with our creative team to devise optimal creative strategies. What role does your creative team play in developing ad campaigns, and how do they collaborate with the AI models to optimize ad performance?

Neural Network 261

Neural Network Machine Learning ML Continuous Learning 261

Pickl AI

MARCH 20, 2025

How Agentic RAG Works It is an advanced AI system that goes beyond simply retrieving information. Unlike traditional AI models that wait for instructions, It takes action to find the most relevant information. Continuous Learning : It improves with each interaction by learning from feedback.

Continuous Learning 52

Continuous Learning Artificial Intelligence Artificial Intelligence AI Modeling 52

Towards AI

JANUARY 21, 2025

Despite sensationalized false positives, the way AI models are built (at least the publicly known ones) precludes even the possibility at present. The practical challenge now is determining how AI can simulate the behaviors associated with consciousness and how this simulation can improve human-AI interactions.

AI 114

AI AI Large Language Models Artificial Intelligence 114

Unite.AI

JUNE 19, 2024

However, integrating AI into manufacturing presents several challenges. Even the most advanced AI models can fail without accurate and comprehensive data. Additionally, deploying and maintaining AI systems requires a workforce skilled in both manufacturing and AI technologies.

Data Quality 200

Data Quality Data Scientist Machine Learning AI 200

Unite.AI

FEBRUARY 21, 2025

AI relies on high-quality, structured data to generate meaningful insights, but many businesses struggle with fragmented or incomplete product information. Scalability is another challenge, as AI models must continuously learn and adapt to new product data, customer behaviors, and market trends while maintaining accuracy and relevance.

Natural Language Processing 147

Natural Language Processing NLP Categorization Algorithm 147

Marktechpost

MAY 4, 2024

The rapid evolution in AI demands models that can handle large-scale data and deliver accurate, actionable insights. Researchers in this field aim to create systems capable of continuous learning and adaptation, ensuring they remain relevant in dynamic environments.

Neural Network 145

Neural Network Continuous Learning Large Language Models LLM 145

Unite.AI

JULY 1, 2024

For example, AI models used in medical diagnoses must be thoroughly audited to prevent misdiagnosis and ensure patient safety. Another critical aspect of AI auditing is bias mitigation. AI models can perpetuate biases from their training data, leading to unfair outcomes.

Explainability 182

Explainability BERT AI AI 182

Unite.AI

JUNE 23, 2023

The driving force behind this dramatic rise in automation potential is the capacity of generative AI to understand and use natural language across an array of tasks and activities. With the generative AI models' ability to comprehend and generate human-like text, a whole new frontier for automation has opened up.

Automation 259

Automation Generative AI AI AI 259

Unite.AI

AUGUST 24, 2023

AI models can be trained to detect even subtle or hard-to-identify defects that may go unnoticed by human inspectors, surpassing the limitations of human visual perception and enhancing the overall accuracy of defect identification.

Deep Learning 246

Deep Learning Artificial Intelligence Artificial Intelligence Continuous Learning 246

Becoming Human

JUNE 5, 2023

The inability to adapt to new data streams has been a significant limitation of ML models. Fortunately, the emergence of adaptive AI is changing the game. Adaptive AI represents a breakthrough in artificial intelligence by introducing continuous learning capabilities.

Continuous Learning 106

Continuous Learning Artificial Intelligence Artificial Intelligence Machine Learning 106

Unite.AI

DECEMBER 5, 2023

With this new wave of AI, there is a new category of machine learning engineers who are focused only on “prompt engineering.” ” This role is different from traditional software development, but it has arisen from the need for new ways to work with AI models.

AI Tools 312

AI Tools AI AI Natural Language Processing 312

Unite.AI

JUNE 10, 2024

What specific challenges in grid management does ThinkLabs AI aim to solve? Automated analytics and recommendations for real time situational awareness across the grid, large scale simulations, and continuous learning and recommendations to mitigate grid constraints and optimize grid performance.

Continuous Learning 130

Continuous Learning Automation Data Quality AI 130

Towards AI

APRIL 10, 2024

has proposed with Contextual Language Models (CLMs), in what they call “RAG 2.0”, to make standard Retrieval Augmented Generation (RAG), one of the most popular ways (if not the most) of implementing Generative AI models, obsolete. What this means is that pre-training is a one-off exercise (unlike continual learning methods).

Large Language Models 111

Large Language Models Continuous Learning ChatGPT Generative AI 111

Towards AI

OCTOBER 3, 2024

Lifelong Learning Models: Research aims to develop models that can learn incrementally without forgetting previous knowledge, which is essential for applications in autonomous systems and robotics. – Stakeholder Resistance: There can be resistance from stakeholders who may not fully understand […]

Neural Network 124

Neural Network Algorithm Continuous Learning AI 124

Unite.AI

SEPTEMBER 18, 2024

AI systems continuously learn and improve by analysing outcomes and adjusting their algorithms, ensuring the lead-scoring process remains accurate and relevant. For instance, AI models can be trained on positive and negative responses, helping sales representatives focus on more productive conversations.

Automation 200

Automation AI AI Algorithm 200