Towards AI

APRIL 7, 2024

ML models fail silently. First, we must be aware that the ML development process is different from traditional software development. The ML development process is more iterative and more debugging than developing. However, we cannot test many of the above points with unit tests as in traditional software development.

Software Development 103

Software Development ML AI AI 103

Unite.AI

NOVEMBER 14, 2023

In areas like image generation diffusion model like Runway ML , DALL-E 3 , shows massive improvements. Code Output: Assuming a generous estimate of 100 finalized, tested, reviewed, and approved lines of code per day, this daily output is the basis for comparison. The rapid advancements in AI, are not limitd to text/code generation.

Large Language Models 331

Large Language Models Software Engineer Computer Scientist ChatGPT 331

Unite.AI

JUNE 14, 2023

In this article, we will explore how Generative AI is relevant to security, why it addresses long-standing challenges that previous approaches couldn't solve, the potential disruptions it can bring to the security ecosystem, and how it differs from older Machine Learning (ML) models.

LLM 275

LLM Generative AI Automation Machine Learning 275

Marktechpost

MAY 16, 2024

The activities covered a wide range, such as answering opinion surveys, resolving sensitive or risky inquiries, solving maths problems, tackling hard, knowledge-intensive queries, writing code, passing tests for U.S. medical licenses, and using visual reasoning. Also, don’t forget to follow us on Twitter.

AI Researcher 111

AI Researcher AI Research Large Language Models LLM 111

Towards AI

MAY 7, 2024

A collaboration between Nvidia and UPenn released DrEureka, a new open-source model that uses an LLM agent to write code for training robots in simulation and then write further code to transfer to real-world deployment. hour Scale your ML inference and fine-tuning workloads with Latitude’s Launchpad! The model was trained on 8.1

Robotics 78

Robotics Chatbots OpenAI AI 78

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. These insights can help drive decisions in business, and advance the design and testing of applications. How to use ML to automate the refining process into a cyclical ML process.

Data Science 144

Data Science DevOps Machine Learning Data Scientist 144

Marktechpost

APRIL 24, 2024

Meanwhile, the Tools class comprises a suite of functions enabling MAIA to write modular programs that test hypotheses about system behavior. The System class within MAIA’s API instruments the system to be interpreted, making subcomponents individually callable for experimentation. Also, don’t forget to follow us on Twitter.

Neural Network 124

Neural Network Artificial Intelligence Artificial Intelligence Automation 124

Marktechpost

FEBRUARY 25, 2024

The potential of LLMs to aid physicians in medical diagnosis, clinical report writing, and medical education has been the subject of multiple investigations. Specialized testing, such as laboratory tests or imaging examinations, will be performed next to aid in diagnosis and differential diagnosis. Check out the Paper.

Large Language Models 125

Large Language Models Categorization AI AI 125

Marktechpost

NOVEMBER 14, 2023

This paper addresses this concern head-on, proposing a robust solution to identify and differentiate between human and AI-generated writing accurately for chemistry papers. However, these tools have limitations, prompting researchers to introduce a tailored solution specifically for scientific writing.

Machine Learning 129

Machine Learning Chatbots ChatGPT Responsible AI 129

AWS Machine Learning Blog

NOVEMBER 8, 2023

Amazon CodeWhisperer can help developers streamline their workflows, enhance code quality, build stronger security postures, generate robust test suites, and write computationally resource friendly code, which can help you optimize for environmental sustainability. Therefore, AWS can help lower the workload carbon footprint up to 96%.

Software Development 97

Software Development Machine Learning Auto-complete ML 97

Marktechpost

MARCH 24, 2024

Artificial intelligence’s application is revolutionizing technology in fields like NLP (Natural Language Processing) and ML (Machine Learning). Embrace a world of intelligent features on your notebook, including linting, testing, debugging, and intelligent autocomplete.

Natural Language Processing 129

Natural Language Processing Data Scientist Artificial Intelligence Artificial Intelligence 129

Unite.AI

NOVEMBER 10, 2023

When a customer writes a message, we run this model and it either tells us we need to transfer this conversation to an agent, or shows them a relevant page with an answer to their question. Once you have a result–whether it is positive or negative–then you can have a hypothesis for AI testing. It will work like this.

AI 182

AI AI ML Chatbots 182

Marktechpost

MARCH 22, 2024

Data scientists and engineers frequently collaborate on machine learning ML tasks, making incremental improvements, iteratively refining ML pipelines, and checking the model’s generalizability and robustness. To build a well-documented ML pipeline, data traceability is crucial. Also, don’t forget to follow us on Twitter.

Machine Learning 135

Machine Learning Explainability Categorization ETL 135

Marktechpost

JULY 29, 2023

Now, Imagine yourself stuck writing your own scientific paper and facing difficulty in asking the right curious questions. Reading scientific articles raises questions and includes testing and deep questioning, which require full-stack reasoning. The first is to allow the reader to ask advanced surface, testing, and deep questions.

AI Researcher 98

AI Researcher AI Research AI AI 98

Marktechpost

APRIL 10, 2024

To put CT-LLM’s capabilities to the test, the researchers developed the Chinese Hard Case Benchmark (CHC-Bench), a multidisciplinary suite of challenging problems designed to assess the model’s instruction understanding and following abilities in the Chinese language. Also, don’t forget to follow us on Twitter.

LLM 127

LLM Natural Language Processing NLP ML 127

AWS Machine Learning Blog

MAY 16, 2024

The data preprocessing batches were created by writing a shell script to run Amazon EMR through AWS Command Line Interface (AWS CLI) commands, which we registered to Airflow to run at specific intervals. With Amazon EMR, which provides fully managed environments like Apache Hadoop and Spark, we were able to process data faster.

Deep Learning 86

Deep Learning Auto-complete Algorithm ML 86

Marktechpost

MARCH 6, 2024

Machine learning (ML) and artificial intelligence (AI) are at the heart of Gradescope, streamlining the grading process to save you time and effort. Undetectable AI Undetectable AI is a cutting-edge tool capable of transforming flagged AI content into superior, high-quality writing indistinguishable from content written by humans.

AI Tools 109

AI Tools Artificial Intelligence Artificial Intelligence AI 109

Marktechpost

FEBRUARY 5, 2024

LLaMa-70B is prompted to re-write answers as abstract chains, replacing specific operations with abstract placeholders. For mathematical reasoning, LLMs are trained on CoA data constructed by re-writing the GSM8K (Cobbe et al., Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

Large Language Models 133

Large Language Models LLM AI AI 133

Becoming Human

APRIL 19, 2024

This radical method has the power to completely change how software is developed, tested, and implemented. Automated Testing: By automating the creation of test cases, generative AI can expedite the software development process’ testing phase.

Software Development 103

Software Development Generative AI DevOps Automation 103

AWS Machine Learning Blog

FEBRUARY 6, 2024

This document contains over 100 highly detailed technical reports created during the process of drug research and testing. By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format. It captures the message ID returned by Amazon SQS.

Generative AI 102

Generative AI Large Language Models AI AI 102

IBM Journey to AI blog

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. When someone asks a question via speech or text, ML searches for the answer or recalls similar questions the person has asked before.

Computer Vision 221

Computer Vision Automation Robotics AI 221

Marktechpost

OCTOBER 11, 2023

Research agents with these can execute tasks like reading and writing files and running code, just like a human researcher would. The team started with a collection of 15 ML engineering projects spanning various fields, with experiments that are quick and cheap to run. It achieves an average improvement of 48.18

Machine Learning 104

Machine Learning AI Researcher AI Research Convolutional Neural Networks 104

Marktechpost

MAY 3, 2024

They used two popular tasks, MedQA (questions similar to those on the USMLE) and MultiMedQA Long Form Answering (open response to consumer health queries), which assess the ability to understand and reason about medical scenarios and write informative paragraphs responding to health questions. Also, don’t forget to follow us on Twitter.

Large Language Models 98

Large Language Models NLP ML AI 98

AWS Machine Learning Blog

SEPTEMBER 20, 2023

In these scenarios, as you start to embrace generative AI, large language models (LLMs) and machine learning (ML) technologies as a core part of your business, you may be looking for options to take advantage of AWS AI and ML capabilities outside of AWS in a multicloud environment.

ML 99

ML Python Deep Learning Machine Learning 99

Towards AI

FEBRUARY 21, 2023

We test it on a practical problem in a modality of AI in which it was not trained, computer vision, and report the results. The Set Up If ChatGPT is to function as an ML engineer, it is best to run an inventory of the tasks that the role entails. Writing custom algorithms and scripts. improvement in precision and 34.4%

ML Engineer 94

ML Engineer ML ChatGPT Computer Vision 94

AWS Machine Learning Blog

NOVEMBER 17, 2023

Agents extend FMs to run complex business tasks—from booking travel and processing insurance claims to creating ad campaigns and managing inventory—all without writing any code. You can perform a variety of tasks, including sending email notifications, writing to databases, and triggering application APIs in the Lambda functions.

DevOps 86

DevOps Prompt Engineer Prompt Engineering Automation 86

Marktechpost

DECEMBER 10, 2023

Competitive programming, which is a tough evaluation of coding skills that requires competitors to write code solutions for complex issues in a limited amount of time, requires a great amount of critical thinking, logical reasoning, and a thorough comprehension of algorithms and coding concepts. Check out the Paper.

Artificial Intelligence 134

Artificial Intelligence Artificial Intelligence Large Language Models Algorithm 134

Marktechpost

JUNE 8, 2023

ReLM is the first solution that allows practitioners to directly measure LLM behavior over collections too vast to enumerate by describing a query as the whole set of test patterns. Users of ReLM build queries that incorporate the test pattern and how to carry it out. ReLM can run queries up to 15x faster, with 2.5x

Large Language Models 109

Large Language Models LLM Inference Engine AI 109

Mlearning.ai

JULY 29, 2023

INTRODUCTION Recently I had the pleasure to explore different options to automate a daily ML inference job, which reads raw data from a database table and write the inference results to another table. This approach is heavily inspired by the book Designing Machine Learning Systems by Chip Huyen , a go-to resource for any ML Engineer.

Machine Learning 52

Machine Learning DevOps ML ML Engineer 52

Marktechpost

MARCH 5, 2024

These models have demonstrated their prowess in generating code, translating programming languages, writing unit tests, and detecting and fixing bugs. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Check out the Paper. If you like our work, you will love our newsletter.

Machine Learning 134

Machine Learning Large Language Models AI AI 134

AWS Machine Learning Blog

MARCH 3, 2023

Machine learning (ML) can help companies make better business decisions through advanced analytics. Companies across industries apply ML to use cases such as predicting customer churn, demand forecasting, credit scoring, predicting late shipments, and improving manufacturing quality. MB to 100 MB in size.

ML 75

ML Machine Learning Algorithm Big Data 75

Heartbeat

SEPTEMBER 22, 2023

I write about Machine Learning on Medium || Github || Kaggle || Linkedin. ? Train-Test Split Estimator Before diving into the world of hyperparameters specific to machine learning algorithms, it’s important to discuss the first step: the training-test split estimator. Follow “Nhi Yen” for future updates!

Machine Learning 64

Machine Learning ML Algorithm Automation 64

Viso.ai

MAY 10, 2024

Whether you’re building a consumer app to recognize plant species or an enterprise tool to monitor office security camera footage, you are going to need to build a Machine Learning (ML) model to provide the core functionality. Today, building an ML model is easier than ever before using frameworks like Tensorflow.

Machine Learning 52

Machine Learning Computer Vision Neural Network Convolutional Neural Networks 52

Marktechpost

NOVEMBER 23, 2023

To evaluate the effectiveness of SoT, the research team conducted extensive tests on 12 recently released models, spanning both open-source and API-based categories. The team observed substantial speed-ups by utilizing the Vicuna-80 dataset, which includes questions from various domains like coding, math, writing, and roleplay.

Artificial Intelligence 140

Artificial Intelligence Artificial Intelligence Large Language Models LLM 140

AWS Machine Learning Blog

FEBRUARY 13, 2024

The BigBasket team was running open source, in-house ML algorithms for computer vision object recognition to power AI-enabled checkout at their Fresho (physical) stores. Their objective was to fine-tune an existing computer vision machine learning (ML) model for SKU detection. Split data into train, validation, and test sets.

Computer Vision 100

Computer Vision Convolutional Neural Networks AI AI 100

AWS Machine Learning Blog

FEBRUARY 16, 2024

You can try out this model with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. You can also try out these models using a test UI widget. Code Llama Code Llama is a model released by Meta that is built on top of Llama 2.

Python 109

Python Computer Vision Machine Learning Artificial Intelligence 109

Marktechpost

JULY 4, 2023

By using Parsel, coders can write programs in plain language that can tackle coding issues at the competition level, outperforming previous SoTA by more than 75%. They plan to implement autonomous unit test generation in the near future. Check out the Paper , Github , and Project Page.

Large Language Models 98

Large Language Models Artificial Intelligence Artificial Intelligence Algorithm 98