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 Automation 106

NVIDIA

MARCH 18, 2024

Unveiled at NVIDIA GTC , the global AI conference taking place March 18-21 in San Jose, Calif., and online, this work could also facilitate the deployment of third-party models and applications developed across the digital surgery ecosystem by providing a common AI compute platform. “AI

AI Modeling 113

AI Modeling Continuous Learning Chatbots Algorithm 113

Unite.AI

FEBRUARY 15, 2024

Given the rapid pace of advancements in AI, I dedicate a substantial amount of time to staying abreast of the latest developments and trends in the field. This continuous learning is essential for maintaining our edge and ensuring our strategies remain relevant and effective.

AI Researcher 162

AI Researcher AI Research Machine Learning AI 162

Unite.AI

APRIL 30, 2024

AI models, particularly chatbots, learn from interactions through various learning paradigms, for example: In supervised learning , chatbots learn from labeled examples, such as historical conversations, to map inputs to outputs. It is essential to balance adaptability and consistency for chatbots.

Chatbots 204

Chatbots Neural Network BERT OpenAI 204

Pickl AI

JUNE 23, 2023

The Importance of Data-Centric Architecture Data-centric architecture is an approach that places data at the core of AI systems. At the same time, it emphasizes the collection, storage, and processing of high-quality data to drive accurate and reliable AI models. How Does Data-Centric AI Work?

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

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

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

Marktechpost

MARCH 30, 2024

Continuous Journey of Prompt Engineering Mastery The landscape of AI and machine learning is perpetually evolving, making prompt engineering a continuous learning journey. As new models and updates are introduced, the strategies and techniques for effective prompting must adapt.

Prompt Engineer 121

Prompt Engineer Prompt Engineering ChatGPT Large Language Models 121

Towards AI

JULY 15, 2023

.” — Neo, The Matrix The Quest for True Expertise Becoming a generative AI expert goes beyond just merely claiming the title. True expertise is built upon a foundation of knowledge, experience, and continuous learning.

Generative AI 93

Generative AI AI AI Continuous Learning 93

Pickl AI

APRIL 19, 2024

Select the right learning path tailored to your goals and preferences. Engage in practical projects, seek mentorship, and join AI communities for support and guidance. Continuous learning is critical to becoming an AI expert, so stay updated with online courses, research papers, and workshops.

Neural Network 52

Neural Network Natural Language Processing Machine Learning Computer Vision 52

ODSC - Open Data Science

SEPTEMBER 26, 2023

At ODSC West 2023 , you’ll find an unprecedented breadth and depth of content, with hands-on training sessions on the latest advances in Generative AI, LLMs, Prompt Engineering, Machine Learning, Deep Learning, MLOps, Data Engineering, and much, much more.

Data Science 52

Data Science Data Scientist Continuous Learning Deep Learning 52

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 312

AI AI AI Tools Natural Language Processing 312

TheSequence

FEBRUARY 25, 2024

. 📝 Editorial: Google Goes Small and Open Source with Gemma Generative AI is transforming everything, but it's hard to lead the revolution with 70B parameters at a time! LLMs feel magical until you spend weeks trying to fine-tune a massively large model.

LLM 114

LLM Generative AI OpenAI ML 114

Unite.AI

MARCH 19, 2024

At Connectly, we’re exploring game-like scenarios for learning, where chatbots engage in simulated conversations to improve their strategies, akin to role-plays in sales training. This continuous learning and adaptation are crucial for successfully deploying and distributing chatbots.

Chatbots 147

Chatbots AI Chatbots Automation Natural Language Processing 147

LevelAI

JANUARY 19, 2024

Continuous Learning and Optimization: Unlike static rule-based bots, generative AI models constantly learn and adapt. Generative AI’s impact on customer service extends far beyond simply deflecting calls.

Generative AI 59

Generative AI AI AI Automation 59

Towards AI

FEBRUARY 15, 2024

They work along with data scientists, information technology specialists, and other engineers in their AI career to design, develop, and deploy applications and systems that can handle complicated tasks.

AI Engineer 101

AI Engineer Software Engineer Artificial Intelligence Artificial Intelligence 101

NYU Center for Data Science

SEPTEMBER 28, 2023

This collaborative atmosphere, combined with individual lab meetings and the broader ML² seminars, fostered a culture of continuous learning and knowledge sharing. Linzen, for example, is interested in how human language works, which will never be solved simply by developing ever-more-sophisticated AI models.

Machine Learning 83

Machine Learning NLP ML Large Language Models 83

TheSequence

JUNE 4, 2023

Currently, there are three key areas in LLM research that have the potential to have a "RLHF effect" in the next generation of models: Chain of Thought Reasoning: Techniques that simulate reasoning by breaking tasks into smaller steps. Continual Learning: Techniques that regularly update the knowledge in LLMs.

LLM 96

LLM ML ChatGPT Automation 96

Unite.AI

JUNE 13, 2023

Continuous learning: GitHub Copilot learns from your coding style and habits, delivering personalized suggestions that improve over time. Cody by Sourcegraph Cody is another AI-driven coding assistant, this one developed by Sourcegraph. AI2sql features an intuitive interface that encourages user interaction.

Auto-complete 258

Auto-complete AI AI Deep Learning 258

Unite.AI

JANUARY 25, 2024

Prompt engineering revolves around the art and science of crafting effective prompts to elicit desired responses from AI models, especially large language models like GPT. This surge in interest underscores the growing recognition of the nuanced skill required to interact efficiently with advanced AI systems.

Prompt Engineer 182

Prompt Engineer Prompt Engineering Generative AI NLP 182

Snorkel AI

OCTOBER 4, 2023

Supercharge predictive modeling. Lenders and credit bureaus can build AI models that uncover patterns from historical data and then apply those patterns to new data in order to predict future behavior. Custom AI models offer unprecedented opportunities for lenders to control their creditworthiness criteria.

AI 64

AI AI Data Scientist Neural Network 64

Snorkel AI

OCTOBER 4, 2023

Supercharge predictive modeling. Lenders and credit bureaus can build AI models that uncover patterns from historical data and then apply those patterns to new data in order to predict future behavior. Custom AI models offer unprecedented opportunities for lenders to control their creditworthiness criteria.

AI 59

AI AI Data Scientist Neural Network 59

Pickl AI

JULY 18, 2023

AI Architect: While AI Engineers and AI Architects are both involved in the development of AI systems, there are notable distinctions between their roles. AI Engineers focus primarily on implementing and deploying AI models and algorithms, working closely with data scientists and machine learning experts.

AI Architect 52

AI Architect AI Engineer Machine Learning Artificial Intelligence 52

AWS Machine Learning Blog

MAY 9, 2024

Benchmarking and metrics – Defining standardized metrics and benchmarking to measure and compare the performance of AI models, and the business value derived. Data governance Data governance is a crucial function of an AI/ML CoE, such as making sure data is collected, used, and shared in a responsible and trustworthy manner.

ML 98

ML Generative AI AI AI 98

Topbots

NOVEMBER 14, 2023

Workforce planning : Predictive models can forecast workforce demand by analyzing factors such as market trends and skills gaps, enabling targeted recruitment and training. Diversity and inclusion : Predictive AI can help to identify and mitigate biases in recruitment and performance evaluation processes. Data privacy and security.

Natural Language Processing 52

Natural Language Processing AI AI Generative AI 52

LevelAI

FEBRUARY 5, 2024

Ongoing Learning and Adaptation: Employ continuous learning techniques to allow models to adapt to evolving language patterns, industry trends, and company-specific changes over time.

Automation 52

Automation Text Analytics Natural Language Processing Generative AI 52

IBM Journey to AI blog

AUGUST 7, 2023

AI empowers real-time site performance monitoring and forecasting by automating data analysis, providing timely alerts and insights, and enabling predictive analytics. AI models can be designed to detect anomalies in real-time site performance data.

AI 146

AI AI Algorithm Artificial Intelligence 146

AWS Machine Learning Blog

APRIL 24, 2024

RLAIF employs an AI assistant (another LLM) to provide evaluation scores, rather than from humans. In this hybrid learning approach, the learning agent refines the actions not only based on the interaction with a human but also from feedback provided by another AI model.

LLM 110

LLM AI AI Generative AI 110

Pickl AI

AUGUST 2, 2023

Efforts are continually being made to improve AI models’ safety, robustness, and ethical usage. Optimized Captioning The model’s proficiency in generating captions for images and videos has been greatly improved, resulting in more precise and relevant descriptions. What is ChatGPT Used For?

ChatGPT 52

ChatGPT Neural Network Prompt Engineer Prompt Engineering 52

Viso.ai

APRIL 4, 2024

A schema proposal for an online adaptive learning algorithm to mitigate the effect of concept drift in an AI model over time. For example, if recalibration didn’t pan out as expected, you can roll back the model to the last acceptable version. These tests evaluate changes in the distribution of input features.

Data Drift 52

Data Drift Computer Vision Machine Learning Algorithm 52

Kavita Ganesan

OCTOBER 21, 2022

To get into the crux of what went wrong, let’s study some of the problems in detail and try to learn from them. This will help us all see how to handle similar challenges when deploying AI in our organizations. Data Data is often a big reason why AI models fail. the environment).

ML 52

ML Machine Learning AI Strategy Continuous Learning 52

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 103

Large Language Models Continuous Learning ChatGPT Generative AI 103

Chatbots Life

APRIL 30, 2024

This continuous learning helps in refining development processes over time. Read also: Top Generative AI Trends in 2024 by Master of Code Global Conclusion The automotive industry has a longstanding tradition of driving and embracing technological advancements, and this trend will continue.

Generative AI 52

Generative AI Artificial Intelligence Artificial Intelligence Chatbots 52

Defined.ai blog

MARCH 20, 2023

With its vast knowledge base and advanced language processing capabilities, ChatGPT is the perfect partner for this conversation, and we are excited to explore this topic with such an advanced AI model. Check out or documentation , or reach out to sales@defined.ai to get a free enterprise account.

Large Language Models 52

Large Language Models ChatGPT Natural Language Processing Computer Vision 52

AWS Machine Learning Blog

NOVEMBER 7, 2023

Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. Without continued learning, these models remain oblivious to new data and trends that emerge after their initial training. Furthermore, the cost to train new LLMs can prove prohibitive for many enterprise settings.

Large Language Models 94

Large Language Models Generative AI LLM AI 94

PyImageSearch

DECEMBER 11, 2023

ML Study Jams: These were intensive 4-week learning opportunities, using Kaggle Courses to deepen the understanding of ML among participants. ML Paper Reading and Writing Clubs: To foster a culture of continuous learning and research, these clubs were introduced in various ML communities.

ML 60

ML Deep Learning Machine Learning Chatbots 60

IBM Journey to AI blog

JANUARY 10, 2024

Data is often divided into three categories: training data (helps the model learn), validation data (tunes the model) and test data (assesses the model’s performance). For optimal performance, AI models should receive data from a diverse datasets (e.g.,

Artificial Intelligence 205

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 205