Marktechpost

MARCH 3, 2024

The field of Artificial Intelligence (AI) is significantly pushing the envelope of technology, thanks to the amazing capabilities of Large Language Models (LLMs). These models based on Natural Language Processing, Understanding, and Generation have demonstrated exceptional skills and potential in almost every industry.

Artificial Intelligence 137

Artificial Intelligence Artificial Intelligence AI Modeling Natural Language Processing 137

Marktechpost

APRIL 19, 2024

Google AI researchers showed how a joint model combining sound separation and ASR could benefit from hybrid datasets, including large amounts of simulated audio and small amounts of real recordings. Furthermore, adding microphone directivity in the simulation further enhances model training, reducing the reliance on real-world data.

Deep Learning 101

Deep Learning AI Researcher AI Research ML 101

Marktechpost

MARCH 27, 2024

Later research has shown how transformer-based models can be used like natural language for code at the lexical (text) level. Since then, language models have been widely used to model code on various tasks. Such models are executed every few seconds, especially in the case of code completion.

Software Engineer 127

Software Engineer Software Development AI AI 127

AWS Machine Learning Blog

MAY 15, 2024

ONNX is an open source machine learning (ML) framework that provides interoperability across a wide range of frameworks, operating systems, and hardware platforms. ONNX Runtime is the runtime engine used for model inference and training with ONNX. Then we compared the improvements from bfloat16 fast math kernels from ONNX Runtime 1.17.1

NLP 91

NLP BERT Natural Language Processing Software Development 91

Marktechpost

JANUARY 27, 2024

With the growth of trending AI applications, Machine Learning ML models are being used for various purposes, leading to an increase in the advent of multimodal models. Also, these models are valuable in various applications in multiple domains. The very scale of developing such a large model led to many challenges.

AI 111

AI AI AI Researcher AI Research 111

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Today, 35% of companies report using AI in their business, which includes ML, and an additional 42% reported they are exploring AI, according to the IBM Global AI Adoption Index 2022. What is MLOps?

Data Science 148

Data Science DevOps Machine Learning Data Scientist 148

Marktechpost

MARCH 20, 2024

MIT researchers developed the Texture Tiling Model (TTM) to address the challenge of accurately modeling human visual perception in deep neural networks (DNNs), particularly focusing on peripheral vision. The proposed method leverages the Texture Tiling Model (TTM), a well-tested model of peripheral vision in humans.

Machine Learning 104

Machine Learning UX Design Neural Network Computer Vision 104

Unite.AI

APRIL 30, 2024

They help organizations drive safer, more efficient care by providing governance, risk and compliance tools that drive overall improvement and safety. I’m currently keeping a close eye on large language models (LLMs). RLDatix is on a mission to change healthcare. What initially attracted you to computer science and cybersecurity?

LLM 147

LLM Large Language Models ML Artificial Intelligence 147

AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. At Amazon, we believe innovation (rethink and reinvent) drives improved customer experiences and efficient processes, leading to increased productivity. What is an AI/ML CoE?

ML 100

ML Generative AI AI AI 100

Marktechpost

MARCH 11, 2024

The ability of Large Language Models (LLMs) to solve tasks related to Natural Language Processing (NLP) and Natural Language Generation (NLG) using few-shot reasoning has led to an increase in their popularity. Check out the Paper and Blog. All credit for this research goes to the researchers of this project.

Machine Learning 122

Machine Learning Large Language Models Natural Language Processing LLM 122

Marktechpost

MARCH 6, 2024

Recent advancements in the field of Artificial Intelligence and Deep Learning have made remarkable strides, especially in generative modelling, which is a subfield of Machine Learning where models are trained to produce new data samples that match the training data.

Machine Learning 128

Machine Learning Natural Language Processing Deep Learning Artificial Intelligence 128

AWS Machine Learning Blog

OCTOBER 5, 2023

Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption across enterprise and government organizations. Processing unstructured data has become easier with the advancements in natural language processing (NLP) and user-friendly AI/ML services like Amazon Textract , Amazon Transcribe , and Amazon Comprehend.

NLP 98

NLP ML Natural Language Processing Artificial Intelligence 98

Marktechpost

JANUARY 17, 2024

With the growth of large language models, natural language processing has been revolutionized. Even though there are many such LLMs now, open-source models have no reliable models for translation tasks. and Mixtral 8x7B models. Many LLMs, like GPT-3.5, Thorough research has been done to tackle this challenge.

Large Language Models 130

Large Language Models LLM Natural Language Processing ML 130

Marktechpost

MARCH 4, 2024

The proposed method, ViSNet, introduces a vector-scalar interactive graph neural network framework designed to enhance molecular geometry modeling. By expanding calculations to include two-body, three-body, and four-body interactions, ViSNet improves molecular geometry representation and maintains computational efficiency.

Neural Network 103

Neural Network Algorithm ML AI 103

Marktechpost

DECEMBER 18, 2023

Most of the LLMs today (for example, ChatGPT) are aligned using reinforcement learning from human feedback (RLHF), where human evaluators reward and penalize the model based on its performance to improve its efficiency. Superhuman models have the potential to perform very complex behaviors that are far from human comprehension.

OpenAI 99

OpenAI NLP ChatGPT AI Researcher 99

AWS Machine Learning Blog

APRIL 29, 2024

In recent years, large language models (LLMs) have gained attention for their effectiveness, leading various industries to adapt general LLMs to their data for improved results, making efficient training and hardware availability crucial. This is a guest post by Mark McQuade, Malikeh Ehghaghi, and Shamane Siri from Arcee.

Large Language Models 103

Large Language Models NLP Machine Learning Artificial Intelligence 103

Marktechpost

MARCH 20, 2024

Unlike equality, health equity acknowledges that individuals facing greater barriers to health improvement may require different or additional efforts to attain fairness in health outcomes. The HEAL framework is applied to a dermatology AI model to illustrate its utility. Check out the Paper and Blog.

Machine Learning 105

Machine Learning Artificial Intelligence Artificial Intelligence AI Developer 105

AWS Machine Learning Blog

FEBRUARY 13, 2024

In this post, we discuss how BigBasket used Amazon SageMaker to train their computer vision model for Fast-Moving Consumer Goods (FMCG) product identification, which helped them reduce training time by approximately 50% and save costs by 20%. To keep pace with new products, a new model was produced each month using the latest training data.

Computer Vision 103

Computer Vision Convolutional Neural Networks AI AI 103

Marktechpost

DECEMBER 13, 2023

Together AI has made a big contribution to sequence modeling architectures and introduced StripedHyena models. It has revolutionized the field by offering alternatives to the conventional Transformers, focusing on computational efficiency and enhanced performance.

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence AI AI 122

Marktechpost

DECEMBER 13, 2023

Large Language Models (LLMs), due to their strong generalization and reasoning powers, have significantly uplifted the Artificial Intelligence (AI) community. These models have shown to be remarkably capable and have showcased the capabilities of Natural Language Processing (NLP), Natural Language Generation (NLG), Computer Vision, etc.

Large Language Models 130

Large Language Models LLM Natural Language Processing Computer Vision 130

AWS Machine Learning Blog

FEBRUARY 27, 2024

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. This is a guest post written by Axfood AB.

Machine Learning 115

Machine Learning DevOps Data Quality Data Scientist 115

AWS Machine Learning Blog

APRIL 18, 2024

We are excited to announce that Slack, a Salesforce company, has collaborated with Amazon SageMaker JumpStart to power Slack AI’s initial search and summarization features and provide safeguards for Slack to use large language models (LLMs) more securely. None of your data is used to train the underlying models.

Generative AI 102

Generative AI ML AI AI 102

Marktechpost

FEBRUARY 7, 2024

With the rising complexity and capability of Artificial Intelligence (AI), its latest innovation, i.e., the Large Language Models (LLMs), has demonstrated great advances in tasks, including text generation, language translation, text summarization, and code completion. The key features of OLMo are as follows.

Natural Language Processing 116

Natural Language Processing Artificial Intelligence Artificial Intelligence NLP 116

Marktechpost

DECEMBER 8, 2023

Physics-based optimization generalizes better but could perform better in complicated tasks due to the lack of high-level semantic information and reliance on manual parametric tuning. Using both worlds, PyPose is created to address deep perceptual models with physics-based optimization. Check out the Blog , Tutorial , and Github.

Deep Learning 130

Deep Learning Robotics Algorithm AI Researcher 130

AWS Machine Learning Blog

DECEMBER 19, 2023

Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. However, putting an ML model into production at scale is challenging and requires a set of best practices.

Machine Learning 107

Machine Learning ML Engineer DevOps ML 107

Marktechpost

DECEMBER 14, 2023

In the ever-evolving field of technological advancements, language models have become indispensable. The advancement of technology has ushered in a digital age where language models play an increasingly important role in information processing, communication, and problem-solving. on The Open Language Model Leaderboard.

Large Language Models 133

Large Language Models LLM Artificial Intelligence Artificial Intelligence 133

Marktechpost

JULY 16, 2023

The rapid advancements in language models have been primarily attributed to their massive scale, enabling mind-blowing capabilities in various natural language processing tasks. However, a thought-provoking question arises: is scale the only determinant of model performance?

Natural Language Processing 87

Natural Language Processing AI Tools Algorithm AI 87

AWS Machine Learning Blog

OCTOBER 26, 2023

Intuitivo, a pioneer in retail innovation, is revolutionizing shopping with its cloud-based AI and machine learning (AI/ML) transactional processing system. Our innovative new A-POPs (or vending machines) deliver enhanced customer experiences at ten times lower cost because of the performance and cost advantages AWS Inferentia delivers.

ML 102

ML Computer Vision Machine Learning AI 102

AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker makes it straightforward to deploy machine learning (ML) models for real-time inference and offers a broad selection of ML instances spanning CPUs and accelerators such as AWS Inferentia. The endpoint uniformly distributes incoming requests to ML instances using a round-robin algorithm.

Machine Learning 91

Machine Learning Software Development ML Computer Vision 91

Marktechpost

MARCH 30, 2024

Meet the Pollen-Vision library that offers a unified interface for Zero-Shot vision models tailored explicitly for robotics. Traditionally, robots’ ability to understand and navigate their environment was hampered by the need for extensive training and data to recognize objects and perform tasks.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Robotics ML 105

Heartbeat

JUNE 12, 2023

Source: Author Introduction Machine learning model monitoring tracks the performance and behavior of a machine learning model over time. It involves collecting and analyzing data on various aspects of the model’s performance, including its accuracy, precision, recall, and F1 score, as well as its bias , fairness , and stability.

Machine Learning 98

Machine Learning Data Drift Explainability Data Quality 98

AWS Machine Learning Blog

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. All the principles of the AWS Shared Responsibility Model are applicable to generative AI solutions.

Generative AI 125

Generative AI LLM ML AI 125

AWS Machine Learning Blog

APRIL 24, 2024

In this post, we share how we analyzed the feedback data and identified limitations of accuracy and hallucinations RAG provided, and used the human evaluation score to train the model through reinforcement learning. This method addressed the RAG limitation and further improved the bot response quality. pdf – page: 10 * ARS GEN 10.0/05.01.02.

LLM 112

LLM AI AI Generative AI 112

Marktechpost

FEBRUARY 21, 2024

Pro model, a highly sophisticated AI that epitomizes efficiency in integrating complex information from textual, visual, and auditory sources. Unlike previous models that tackled modalities in isolation or struggled with integrating diverse data types, Gemini 1.5 The performance metrics of Gemini 1.5 What sets Gemini 1.5

Natural Language Processing 108

Natural Language Processing Artificial Intelligence Artificial Intelligence Automation 108

AWS Machine Learning Blog

MAY 2, 2024

Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. Benefits of new recipes The new recipes offer enhancements in scalability, latency, model performance, and functionality.

Metadata 93

Metadata Software Engineer Large Language Models Machine Learning 93

Towards AI

FEBRUARY 20, 2024

Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction Everyone is using mobile or web applications which are based on one or other machine learning algorithms. Machine learning(ML) is evolving at a very fast pace. Similarly, you give a Machine learning model many pictures, videos, Sounds, etc.,

Machine Learning 85

Machine Learning ML Neural Network Algorithm 85

AWS Machine Learning Blog

DECEMBER 12, 2023

Vodafone is transitioning from a telecommunications company (telco) to a technology company (TechCo) by 2025, with objectives of innovating faster, reducing costs, improving security, and simplifying operations. In this post, we share how Vodafone is advancing its ML skills using AWS DeepRacer and Accenture. Why AWS DeepRacer?

Machine Learning 105

Machine Learning ML DevOps Software Engineer 105