AssemblyAI

MAY 10, 2024

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. The Best tier uses our Universal 1 model to provide high accuracy where every detail matter, while the Nano tier offers high-quality transcripts at an accessible price. Sign up here

Python 147

Python AI Modeling Explainability Machine Learning 147

IBM Journey to AI blog

MARCH 15, 2024

Managing large internal and vendor teams to maintain multiple applications can be extremely difficult. Migrate, modernize and build capabilities: Migrate workloads to the cloud or develop new applications natively on the cloud with our automation-first, journey-based approach with low-touch factory squads to deliver predictable outcomes.

Automation 228

Automation DevOps 228

Unite.AI

JUNE 3, 2023

This shift could fundamentally change the way we approach the ethical dimensions of our interactions with robots, fostering a sense of mutual respect and cooperation. Kim suggests that we might borrow these principles in our approach to robotics, assigning rites or ‘role obligations' to robots rather than rights. .”

Robotics 349

Robotics Artificial Intelligence Artificial Intelligence Machine Learning 349

Unite.AI

MAY 7, 2024

He’s constantly exploring ways to bring the user experience into the core of the editor and collaborating with the engineering team on novel ways to implement complex features in a simple form. As we prioritize our customers, we work hard to implement the latest trends, meeting modern expectations.

Software Development 275

Software Development Generative AI Explainability Machine Learning 275

Unite.AI

NOVEMBER 28, 2023

Despite being in its infancy, artificial intelligence (AI) is already irrevocably impacting the IT industry and the way people across teams. Move too quickly and your team risks stumbling on implementing new – and, in some cases – largely unproven AI tools. Understand AI can’t replace your team.

DevOps 277

DevOps AI AI Natural Language Processing 277

AI News

MARCH 25, 2024

The team has built algorithms that, like the human brain, are always trying to guess what will happen next; learning from any discrepancies between predicted and actual events to continuously update their “internal models of the world.” Friston’s principle theory centres on how our brains minimise surprise and uncertainty.

Robotics 249

Robotics Artificial Intelligence Artificial Intelligence Big Data 249

Unite.AI

FEBRUARY 21, 2024

I wanted to understand how businesses are run, how products are sold and how teams are built –– and I wanted to learn quickly. Then, I’d take the product requirements and work with the engineering team to actually build out the product or feature. every time there was something new that matched our criteria.

LLM 147

LLM Data Platform Software Engineer Chatbots 147

AssemblyAI

DECEMBER 3, 2023

I’m excited to share that we’ve raised $50M in Series C funding led by Accel , our partners that also led our Series A, with participation from Keith Block and Smith Point Capital , Insight Partners , Daniel Gross and Nat Friedman, and Y Combinator. Take our latest Conformer-2 model, for example.

AI Modeling 294

AI Modeling Auto-classification Neural Network AI 294

Unite.AI

JUNE 11, 2023

The advent of artificial intelligence has not only reshaped our digital landscape but has also permeated various fields in unexpected ways. The research team subsequently explored the various degrees of cooperation possible between humans and Large Language Models (LLMs) like ChatGPT.

Robotics 363

Robotics ChatGPT Large Language Models OpenAI 363

Marktechpost

MAY 27, 2024

To dive into this, in a recent study, a team of researchers has produced MedLFQA, a specialized benchmark dataset derived from pre-existing long-form question-answering datasets in the biomedical area. The team has summarized their primary contributions as follows. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

Large Language Models 123

Large Language Models LLM Automation AI 123

Marktechpost

MAY 27, 2024

In a recent study, a team of researchers from MIT introduced the linear representation hypothesis, which suggests that language models perform calculations by adjusting one-dimensional representations of features in their activation space. In order to tackle this, the team has precisely defined irreducible multi-dimensional features.

Neural Network 104

Neural Network Explainability AI AI 104

Marktechpost

MAY 30, 2024

A research team from A*STAR, Nanyang Technological University, and Singapore Management University introduced Super Tiny Language Models (STLMs) to address the inefficiencies of large language models. The team focuses on innovative techniques such as byte-level tokenization, weight tying, and efficient training strategies.

NLP 111

NLP Large Language Models Natural Language Processing AI 111

Marktechpost

APRIL 29, 2024

In recent research, a team of researchers has presented a new method for pre-training vision models with web-scale image-text data in a weakly supervised manner. The team has shared that this method maintains performance on downstream tasks like ImageNet-1k classification and is much more efficient to train than CLIP.

Categorization 122

Categorization AI AI ML 122

Marktechpost

MAY 25, 2024

In recent research, a team of researchers from the University of Chicago studied the possibility that a Large Language Model like GPT-4 could carry out financial statement analysis in a way that was similar to that of skilled human analysts. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

AI Researcher 127

AI Researcher AI Research Large Language Models Machine Learning 127

Marktechpost

MAY 11, 2024

For their backbone, the team used LLaMA2, tweaked for about 1.6 Focus Cover: Following stableLM’s lead, the team implemented a block-diagonal attention mask architecture that resets attention masks at EOS (End of Sequence) tokens for all packed sequences. The team used SwiGLU as their activation function.

Large Language Models 126

Large Language Models LLM ML Artificial Intelligence 126

Marketing AI Institute

MAY 28, 2024

In our first episode of the week, join Mike Kaput and Paul Roetzer as they explore Microsoft's new AI-infused PCs, Copilot AI agents, and Team Copilot. Stay tuned for our special 100th episode coming out this Thursday!

OpenAI 84

OpenAI AI AI 84

Marktechpost

APRIL 7, 2024

In order to answer this question, a team of researchers has presented IsoBench, a benchmark dataset containing challenges from four important domains: games, science, mathematics, and algorithms. The team has summarized their primary contributions as follows. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence Algorithm Natural Language Processing 122

Marktechpost

MARCH 16, 2024

Amidst this backdrop, the Stanford University research team has introduced “pyvene,” a groundbreaking open-source Python library that facilitates intricate interventions on PyTorch models. The Stanford team’s research rigorously tests pyvene across various neural architectures, illustrating its broad applicability.

Machine Learning 142

Machine Learning Python Artificial Intelligence Artificial Intelligence 142

Marktechpost

MAY 19, 2024

In a recent research, a team of researchers has presented the findings of the Project ALPINE which stands for “Autoregressive Learning for Planning In NEtworks.” The team’s goal is to identify any possible shortcomings in the planning capabilities of these models. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

Neural Network 104

Neural Network Large Language Models ChatGPT ML 104

Marktechpost

APRIL 25, 2024

In order to address hallucinations and to implement an enterprise application that translates natural language requirements into workflows, a team of researchers from ServiceNow has created a system that makes use of Retrieval-Augmented Generation (RAG), a method that is known to improve the caliber of structured outputs produced by GenAI systems.

LLM 97

LLM Machine Learning Large Language Models Artificial Intelligence 97

Marktechpost

MARCH 14, 2024

In recent research, a team of researchers from Apple has emphasized assessing the limitations of VLMs, especially in difficult tasks requiring advanced vision-based deduction skills. The team has used Raven’s Progressive Matrices (RPMs) to assess VLMs’ ability in complicated visual reasoning. Million AI enthusiasts?

Machine Learning 116

Machine Learning Large Language Models LLM AI 116

Marktechpost

MARCH 3, 2024

A team of researchers has released Phind-70B, a state-of-the-art AI model with the goal of closing the execution speed and code quality gap with respect to its predecessors, including the well-known GPT-4 Turbo. The team has shared that in the HumanEval benchmark, Phind-70B has shown better performance than GPT-4 Turbo, achieving 82.3%

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence AI Modeling Natural Language Processing 122

Marktechpost

MAY 10, 2024

In a recent study, a team of researchers from Imperial College London and Dell introduced StyleMamba, an effective framework for transferring picture styles that uses text prompts to direct the stylization process while maintaining the original image content. The team has summarized their primary contributions as follows.

ML 121

ML Large Language Models Artificial Intelligence Artificial Intelligence 121

Marktechpost

APRIL 8, 2024

To further guarantee effective multi-codebook modeling, the team incorporates causal masking with delayed stacking as the suggested token rearrangement approach. The team created a unique, realistic, and difficult dataset called REALEDIT to test speech editing. The team used audiobooks and videos from YouTube in their dataset.

Natural Language Processing 117

Natural Language Processing NLP ML Large Language Models 117

Marktechpost

APRIL 16, 2024

In recent research, a team of researchers from the National University of Singapore has provided an automated method for handling GitHub issues in order to automatically improve the quality of programs by adding new features and fixing bugs. The team has summarized their primary contributions as follows. days to resolve one issue.

Artificial Intelligence 107

Artificial Intelligence Artificial Intelligence Automation Software Engineer 107

Marktechpost

MARCH 5, 2024

To address these issues, a team of researchers has presented Rainbow Teaming as a flexible method for consistently producing a variety of adversarial cues for LLMs. Inspired by evolutionary search techniques, Rainbow Teaming formulates the adversarial prompt generation issue as a quality-diversity (QD) search.

Artificial Intelligence 95

Artificial Intelligence Artificial Intelligence Large Language Models LLM 95

Marktechpost

JANUARY 31, 2024

Early examples have demonstrated weaknesses in red teaming, including the production of discriminating statements and unintentional disclosure of personal information. Thus, a thorough stress test, including red teaming situations, becomes essential for the safe deployment of VLMs. The RTVLM dataset on LLaVA-v1.5,

Large Language Models 107

Large Language Models AI AI Artificial Intelligence 107

Marktechpost

MARCH 9, 2024

In recent research, a team of researchers has introduced SynCode, a versatile and efficient approach for generating syntactically accurate code across various programming languages. The team has shared that SynCode guarantees a high degree of syntactical integrity in the generated code by closely aligning with CFGs.

Large Language Models 131

Large Language Models Machine Learning LLM Software Development 131

Marktechpost

MAY 21, 2024

In a recent study, a team of researchers from the University of Maryland, College Park, has come up with an automatic text privatization framework that fine-tunes a Large Language Model to produce rewrites that balance soundness, sense, and privacy. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

Large Language Models 115

Large Language Models Natural Language Processing NLP Automation 115

Flipboard

NOVEMBER 20, 2023

The company is “extremely excited to share the news that Sam Altman and Greg Brockman, together with colleagues, will be joining Microsoft to lead a new advanced AI research team,” Nadella said in a statement after the OpenAI board and Altman were unable to come to terms on his return. This part was to be expected.

OpenAI 159

OpenAI AI Researcher AI Research Artificial Intelligence 159

Marktechpost

MAY 2, 2024

The research team aimed to simplify this process by building an automated tool to analyze the code and generate meaningful English descriptions, helping security experts understand a piece of software, whether malicious or benign. The team developed a new methodology called Embedding Distance Correlation (EDC) to evaluate their dataset.

Neural Network 99

Neural Network Machine Learning Large Language Models Automation 99