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

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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.

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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.

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AWS Machine Learning Blog

MARCH 18, 2025

To simplify this process, AWS introduced Amazon SageMaker HyperPod during AWS re:Invent 2023 , and it has emerged as a pioneering solution, revolutionizing how companies approach AI development and deployment. This makes AI development more accessible and scalable for organizations of all sizes.

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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.

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Unite.AI

JUNE 10, 2024

Josh Wong is the Founder and CEO of ThinkLabs AI. ThinkLabs AI is a specialized AI development and deployment company. Its mission is to empower critical industries and infrastructure with trustworthy AI aimed at achieving global energy sustainability. Josh Wong attended the University of Waterloo.

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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.

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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.

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Unite.AI

MAY 13, 2024

Microsoft's advanced computational infrastructure and AI platform services will enable organizations of all sizes, from startups to multinational corporations, to develop, deploy, and leverage proprietary and open-source AI models and applications.

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IBM Journey to AI blog

JANUARY 10, 2024

But even with the myriad benefits of AI, it does have noteworthy disadvantages when compared to traditional programming methods. AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended.

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ODSC - Open Data Science

MARCH 25, 2025

AI-assisted coding tools (52%) are widely used for software development, debugging, and automation. As tools like GitHub Copilot continue to improve, AIs role in programming is expected to deepen in2025. Proprietary or custom AI models (36%) highlight the growing trend of companies building in-house AI systems.

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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.

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Unite.AI

JANUARY 25, 2024

This unprecedented increase signals a paradigm shift in the realm of technological development, marking generative AI as a cornerstone of innovation in the coming years. This surge is intricately linked with the advent of ChatGPT in late 2022, a milestone that catalyzed the tech community's interest in generative AI.

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Towards AI

FEBRUARY 15, 2024

This suggests that regardless of experience level or the start of your career, engineers with knowledge and experience in AI are offered a daily updated trend in career growth.

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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

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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.

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Pickl AI

DECEMBER 16, 2024

This blog aims to help you navigate this growth by addressing key enablers of AI development. Key Takeaways Reliable, diverse, and preprocessed data is critical for accurate AI model training. GPUs, TPUs, and AI frameworks like TensorFlow drive computational efficiency and scalability.

Artificial Intelligence 52

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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.

Data Scientist 59

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AWS Machine Learning Blog

MAY 9, 2024

These encompass a holistic approach, covering data governance, model development, ethical deployment, and ongoing monitoring, reinforcing the organization’s commitment to responsible and ethical AI/ML practices. Continuous improvement Define rigorous processes for generative AI model development, testing, and deployment.

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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.

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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.

Data Scientist 52

Data Scientist AI AI Neural Network 52

ODSC - Open Data Science

FEBRUARY 11, 2025

Chip Huyen outlined three approaches to evaluation: Functional Correctness: Assessing how well a model performs a specific task, such as generating accurate code or summaries. AI as a Judge: Using AI models to evaluate the outputs of other models, though this requires careful design to ensure reliability.

AI Engineer 52

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Pickl AI

OCTOBER 20, 2024

It covers essential concepts, resources, and skills needed to start a successful AI journey and tap into the booming industry. Key Takeaways Start with Python: Mastering Python is crucial as it is widely used in AI development. Competitive salaries : AI professionals are among the highest-paid in the tech industry.

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Pickl AI

OCTOBER 28, 2024

This includes designing algorithms, building Machine Learning models, and integrating AI solutions into existing systems. Key Responsibilities: Designing AI Models: Creating algorithms that enable machines to learn from data and make decisions.

Artificial Intelligence 52

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Bugra Akyildiz

JUNE 9, 2024

Articles Epoch AI wrote a very comprehensive survey like blog post on the compute trends across all of the foundational models and key trends in compute. The compute used to train recent AI models has grown at a staggering rate of 4-5x per year from 2010 to May 2024. deep learning) itself.

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Chatbots Life

APRIL 19, 2024

Music Generation Generative AI is revolutionizing music creation. These AI models can mimic human voices and generate music. Generative AI-Powered Chatbots Generative AI improves conversational abilities and enables personalization and context-awareness.

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Unite.AI

DECEMBER 11, 2024

Sure, large language models (LLMs) can discuss almost anything, but asking them to consistently perform complex technical tasks? Traditional AI models have broad knowledge but lack the refined expertise that comes from years of specialized experience. That is where things often get frustrating.

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NVIDIA

NOVEMBER 26, 2023

NVIDIA today launched a cloud service for medical imaging AI to further streamline and accelerate the creation of ground-truth data and training of specialized AI models through fully managed, cloud-based application programming interfaces. With continuous learning, the AI model’s annotation quality improves over time.

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NVIDIA

MARCH 18, 2025

However, once a model is trained, it significantly lowers the barrier for others to build on top of it. Post-training scaling: Fine-tuning AI models for specific real-world applications requires 30x more compute during AI inference than pretraining.

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TheSequence

NOVEMBER 17, 2024

📝 Editorial: The Toughest Math Benchmark Ever Built Mathematical reasoning is often considered one of the most critical abilities of foundational AI models and serves as a proxy for general problem-solving. This means that AI models cannot rely on pattern matching or brute-force approaches to arrive at the correct answer.

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Marktechpost

APRIL 7, 2024

This challenge is exacerbated when considering the continual pre-training of models across diverse grammatical and lexical structures. Recognizing these challenges, researchers have developed AURORA-M , a novel open-source multilingual LLM with 15 billion parameters. If you like our work, you will love our newsletter.

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