The MLOps Blog

FEBRUARY 22, 2024

TL;DR: In many machine-learning projects, the model has to frequently be retrained to adapt to changing data or to personalize it. Continual learning is a set of approaches to train machine learning models incrementally, using data samples only once as they arrive. What is continual learning?

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Towards AI

JANUARY 29, 2025

According to Glassdoor, the average salary for an AI Engineer in the US is $120,000$150,000 per year, with senior roles earning even more. c) Impactful Work Generative AI is transforming industries like healthcare, entertainment, education, and finance. Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1.

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Unite.AI

DECEMBER 19, 2023

Using advanced model-based reinforcement learning, CyberRunner demonstrates how AI can extend its prowess into the realm of physical interaction. This technique enables the AI to predict and plan actions by continuously learning from its environment.

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Unite.AI

FEBRUARY 6, 2025

By following ethical guidelines, learners and developers alike can prevent the misuse of AI, reduce potential risks, and align technological advancements with societal values. This divide between those learning how to implement AI and those interested in developing it ethically is colossal.

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Marktechpost

OCTOBER 4, 2024

is poised to address key challenges in multimodal AI. The proposed models demonstrate that combining robust pre-training methods and continual learning strategies can result in a high-performing MLLM that is versatile across various applications, from general image-text understanding to specialized video and UI comprehension.

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Unite.AI

JULY 25, 2023

For instance, many blogs today feature AI-generated text powered by LLMs (Large Language Modules) like ChatGPT or GPT-4. Many data sources contain AI-generated images created using DALL-E2 or Midjourney. Moreover, AI researchers are using synthetic data generated using Generative AI in their model training pipelines.

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Unite.AI

MARCH 22, 2024

Saving Resources: This approach allows for more efficient use of resources, as models learn from each other's experiences without needing direct access to large datasets. Ethical AI Development : Teaching AI to address ethical dilemmas through social learning could be a step toward more responsible AI.

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OpenAI

DECEMBER 23, 2022

Lilian Weng works on Applied AI Research at OpenAI.

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AWS Machine Learning Blog

MARCH 18, 2025

Researchers at Salesforce were looking for ways to quickly get started with foundation model (FM) training and fine-tuning, without having to worry about the infrastructure, or spend weeks optimizing their training stack for each new model.

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Marktechpost

SEPTEMBER 3, 2023

Our findings collectively present a novel brain-inspired algorithm for expectation-based global neuromodulation of synaptic plasticity, which enables neural network performance with high accuracy and low computing cost across a range of recognition and continuous learning tasks. If you like our work, you will love our newsletter.

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Marktechpost

JULY 11, 2024

Overcoming this challenge is essential for advancing AI research, as it directly impacts the feasibility of deploying large-scale models in real-world applications, such as language modeling and natural language processing tasks. This scaling issue poses a significant challenge, especially as models become larger and more complex.

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Marktechpost

JUNE 7, 2023

Now according to the researchers of this paper, this issue is quite prevalent and hazardously impactful in models that follow a continual learning process. This task is more similar to task-free continual learning, where data distributions gradually change without the notion of separate tasks. Check Out The Paper.

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Flipboard

JUNE 11, 2023

Google extends secure-by-default protections to AI platforms like Vertex AI and Security AI Workbench, integrating controls and protections into the software development lifecycle. Techniques like reinforcement learning based on incidents and user feedback can fine-tune models and improve security.

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ODSC - Open Data Science

MARCH 25, 2025

These findings indicate that AIs impact extends beyond productivityit is reshaping professional learning and problem-solving in data-centric industries. The AI Topics That Professionals Want toLearn The rapid evolution of AI means continuous learning is essential.

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Marktechpost

JANUARY 5, 2024

CLOVA’s success is a testament to the transformative potential of adaptive learning mechanisms, charting a promising trajectory for the next frontier in visual intelligence. If you like our work, you will love our newsletter. Ever thought about your tool-use xGPT / language agent improving itself without human intervention?

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Marktechpost

NOVEMBER 18, 2023

PRANC addresses challenges in storing and communicating deep models, offering potential applications in multi-agent learning, continual learners, federated systems, and edge devices. The study discusses prior works on model compression and continual learning using randomly initialized networks and subnetworks.

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Marktechpost

JULY 7, 2024

By addressing the limitations of static ANNs and existing developmental encoding methods, LNDPs offer a promising approach for developing AI systems capable of continuous learning and adaptation. Overall, LNDPs represent a substantial step towards more naturalistic and adaptable AI systems.

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Unite.AI

DECEMBER 8, 2023

This approach aligns with the broader mission of many AI research centers, which aim to create AI tools that are not only technologically advanced but also socially responsible and beneficial. However, their deployment must be carefully managed to avoid reliance on AI without proper human oversight.

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Towards AI

AUGUST 6, 2023

As he mentions in about section: “I make videos about machine learning research papers, programming, and issues of the AI community, and the broader impact of AI in society.” If you had only a YouTube channel to follow to keep track of AI stuff, this would be it. Some videos are longer than two minutes haha.

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Marktechpost

OCTOBER 13, 2023

seeks to foster an ecosystem of real-time data that empowers clinical and operational teams to meet patient needs with unparalleled efficacy by creating continuous learning environments and leveraging ambient intelligent sensors. All Credit For This Research Goes To the Researchers on This Project.

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TheSequence

FEBRUARY 25, 2024

Pre-Instruction Tuning Researchers from Carnegie Mellon University, Meta AI and University of Washington introducing pre-instruction-tuning a method for improving continuing learning in LLMs. VideoPrism Google Research published a paper detailing VideoPrism, a foundation model for video understanding.

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TheSequence

FEBRUARY 16, 2025

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. You can subscribe to The Sequence below: TheSequence is a reader-supported publication. .

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Flipboard

FEBRUARY 6, 2023

In high school, he and his friends wired up the school’s computers for machine learning algorithm training, an experience that planted the seeds for Steinberger’s computer science degree and his job at Meta as an AI researcher.

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Marktechpost

DECEMBER 23, 2024

All credit for this research goes to the researchers of this project. Trending: LG AI Research Releases EXAONE 3.5: Three Open-Source Bilingual Frontier AI-level Models Delivering Unmatched Instruction Following and Long Context Understanding for Global Leadership in Generative AI Excellence.

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Marktechpost

MARCH 3, 2025

LLMs face challenges in continual learning due to the limitations of parametric knowledge retention, leading to the widespread adoption of RAG as a solution. Continual learning strategies for LLMs typically fall into three categories: continual fine-tuning, model editing, and non-parametric retrieval.

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Towards AI

MARCH 3, 2025

Learn and Adapt: World models allow for continuous learning. World Models and the Journey Toward AGI Artificial General Intelligence (AGI) remains one of the most ambitious goals in AI research. As a robot interacts with its surroundings, it refines its internal model to improve prediction accuracy.

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Pickl AI

JANUARY 13, 2025

Summary: As AI continues to transform industries, various job roles are emerging. The top 10 AI jobs include Machine Learning Engineer, Data Scientist, and AI Research Scientist. Continuous learning is crucial for staying relevant in this dynamic field.

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Marktechpost

SEPTEMBER 19, 2024

Understanding how LLM memory differs from human memory is essential for advancing AI research and its applications. Hong Kong Polytechnic University researchers use the Universal Approximation Theorem (UAT) to explain memory in LLMs. Limitations in LLM reasoning are attributed to model size, data quality, and architecture.

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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.

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Pickl AI

SEPTEMBER 3, 2024

Continuous Learning Given the rapid pace of advancements in the field, a commitment to continuous learning is essential. Machine Learning Engineer Machine Learning engineers focus on designing, implementing, and deploying Machine Learning models, including neural networks.

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Unite.AI

JUNE 17, 2024

Rather than imposing AI solutions from the top down, organizations should engage workers in identifying areas where AI can assist them and designing the human-machine collaboration. This not only helps ensure that AI is augmenting in a way that benefits employees, but also fosters a culture of continuous learning and adaptability.

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Pickl AI

OCTOBER 9, 2024

Continuous Learning Mechanisms Integrating continuous learning frameworks allows models to update themselves based on new data inputs over time without requiring complete retraining from scratch.

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Pickl AI

JULY 18, 2023

AI Architects often collaborate with diverse teams and must effectively convey complex ideas to both technical and non-technical stakeholders. Stay Updated Keep up with the latest advancements in the field of AI by following industry blogs, attending conferences, and engaging in continuous learning.

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AWS Machine Learning Blog

MAY 9, 2024

By focusing on the key considerations, from defining a clear mission to fostering innovation and enforcing ethical governance, organizations can lay a solid foundation for AI/ML initiatives that drive value. Stay tuned as we continue to explore the AI/ML CoE topics in our upcoming posts in this series.

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Mlearning.ai

MAY 19, 2023

This has spurred a wave of activity around open source models, with notable examples including the LLaMA series from Meta, the Pythia series from EleutherAI, the StableLM series from StabilityAI, and the OpenLLaMA model from Berkeley AI Research.

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Pickl AI

SEPTEMBER 18, 2024

By combining a robust academic background with technical expertise and strong soft skills, you can position yourself for success as a Machine Learning Engineer. Continuous learning and adaptation will further enhance your capabilities, allowing you to thrive in this exciting and ever-changing field.

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John Snow Labs

JUNE 27, 2023

Moreover, LLMs continuously learn from customer interactions, allowing them to improve their responses and accuracy over time. LLAMA (Large Language Model Meta AI): LLAMA is developed by the FAIR (Facebook AI Research) team of Meta AI.

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