Unite.AI

MARCH 23, 2025

Automating customer interactions reduces the need for extensive human resources. Reliance on third-party LLM providers could impact operational costs and scalability. Unlike overly simplistic drag-and-drop builders, Botpress provides a visual workflow design that helps create sophisticated AI agents without extensive coding knowledge.

AI Chatbots 271

AI Chatbots Chatbots AI AI 271

AWS Machine Learning Blog

FEBRUARY 21, 2025

Similar to how a customer service team maintains a bank of carefully crafted answers to frequently asked questions (FAQs), our solution first checks if a users question matches curated and verified responses before letting the LLM generate a new answer. No LLM invocation needed, response in less than 1 second.

LLM 114

LLM Large Language Models Natural Language Processing Machine Learning 114

AWS Machine Learning Blog

FEBRUARY 12, 2025

The evaluation of large language model (LLM) performance, particularly in response to a variety of prompts, is crucial for organizations aiming to harness the full potential of this rapidly evolving technology. Both features use the LLM-as-a-judge technique behind the scenes but evaluate different things.

LLM 90

LLM Generative AI Automation Machine Learning 90

AWS Machine Learning Blog

NOVEMBER 19, 2024

By proactively implementing guardrails, companies can future-proof their generative AI applications while maintaining a steadfast commitment to ethical and responsible AI practices. In this post, we explore a solution that automates building guardrails using a test-driven development approach.

Automation 110

Automation Responsible AI Generative AI Software Development 110

Unite.AI

FEBRUARY 11, 2025

Future AGIs proprietary technology includes advanced evaluation systems for text and images, agent optimizers, and auto-annotation tools that cut AI development time by up to 95%. Enterprises can complete evaluations in minutes, enabling AI systems to be optimized for production with minimal manual effort.

Auto-complete 147

Auto-complete ML Engineer AI AI 147

Unite.AI

FEBRUARY 13, 2025

This article explores the various reinforcement learning approaches that shape LLMs, examining their contributions and impact on AI development. Understanding Reinforcement Learning in AI Reinforcement Learning (RL) is a machine learning paradigm where an agent learns to make decisions by interacting with an environment.

Large Language Models 191

Large Language Models LLM Machine Learning ChatGPT 191

Snorkel AI

JANUARY 8, 2025

In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform.

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AI Development AI Developer Data Ingestion LLM 52

Unite.AI

MARCH 10, 2025

However, one thing is becoming increasingly clear: advanced models like DeepSeek are accelerating AI adoption across industries, unlocking previously unapproachable use cases by reducing cost barriers and improving Return on Investment (ROI). Even small businesses will be able to harness Gen AI to gain a competitive advantage.

AI Modeling 133

AI Modeling Generative AI AI Strategy Data Quality 133

Unite.AI

FEBRUARY 28, 2025

Cymulate is a cybersecurity company that provides continuous security validation through automated attack simulations. What are the key vulnerabilities organizations face when using public LLMs for business functions? How can enterprises incorporate breach and attack simulation tools to prepare for AI-driven attacks?

Automation 147

Automation Large Language Models AI Tools LLM 147

Unite.AI

JANUARY 24, 2025

How has your entrepreneurial background influenced your approach as a corporate AI leader at Zscaler? The threat landscape has unequivocally evolved with the advent of AI-based cyberattacks, so organizations might fight AI with AI. The major evolution will be enhancing AI solutions with additional data sources.

Deep Learning 246

Deep Learning Generative AI AI AI 246

AWS Machine Learning Blog

DECEMBER 5, 2024

Technical standards, such as ISO/IEC 42001, are significant because they provide a common framework for responsible AI development and deployment, fostering trust and interoperability in an increasingly global and AI-driven technological landscape.

Responsible AI 105

Responsible AI AI Tools AI AI 105

Unite.AI

OCTOBER 18, 2023

Large Language Models (LLMs) are currently one of the most discussed topics in mainstream AI. Developers worldwide are exploring the potential applications of LLMs. Large language models are intricate AI algorithms.

Large Language Models 290

Large Language Models LLM Auto-complete Automation 290

Snorkel AI

MARCH 4, 2025

Misaligned LLMs can generate harmful, unhelpful, or downright nonsensical responsesposing risks to both users and organizations. This is where LLM alignment techniques come in. LLM alignment techniques come in three major varieties: Prompt engineering that explicitly tells the model how to behave.

LLM 52

LLM Large Language Models Data Quality Prompt Engineering 52

Marktechpost

FEBRUARY 15, 2025

Current methods for evaluating AI chat systems rely on single-turn prompts and fixed tests , failing to capture how AI interacts in real conversations. Automated red-teaming adapts too much, making results hard to compare. Measuring how people see AI as human-like is also a challenge.

AI Chatbots 86

AI Chatbots Chatbots Conversational AI LLM 86

Towards AI

FEBRUARY 11, 2025

Against this backdrop of accelerating adoption, Anthropics latest study provides the first large-scale empirical measurement of how AI is actually being used across the economy. Anthropic analyzed four million Claude conversations using an LLM agent to directly track how AI is used across different jobs and tasks.

OpenAI 57

OpenAI LLM ChatGPT Automation 57

Snorkel AI

JANUARY 22, 2025

Neither data scientists nor developers can tell you how any individual model weight impacts its output; they often cant reliably predict how small changes in the input will change the output. They use a process called LLM alignment. Aligning an LLM works similarly. Lets dive in. How does large language model alignment work?

Large Language Models 59

Large Language Models LLM Data Scientist Neural Network 59

NVIDIA

APRIL 9, 2024

Teams from the companies worked closely together to accelerate the performance of Gemma — built from the same research and technology used to create Google DeepMind’s most capable model yet, Gemini — with NVIDIA TensorRT-LLM , an open-source library for optimizing large language model inference, when running on NVIDIA GPUs.

AI Development 139

AI Development AI Developer Generative AI Inference Engine 139

AI News

SEPTEMBER 20, 2024

The company also launched an AI Developer, a Qwen-powered AI assistant designed to support programmers in automating tasks such as requirement analysis, code programming, and bug identification and fixing. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

AI Modeling 354

AI Modeling Big Data Metadata AI 354

AI News

OCTOBER 14, 2024

These new facilities will provide the UK with increased computing power and data storage capabilities, essential for training and deploying next-generation AI technologies. The largest single investment comes from Washington DC-based CloudHQ, which plans to develop a £1.9 billion data centre campus in Didcot, Oxfordshire.

Big Data 308

Big Data AI Developer AI Development LLM 308

Towards AI

JANUARY 20, 2025

Much of becoming a great LLM developer and building a great LLM product is about integrating advanced techniques and customization to help an LLM pipeline ultimately cross a threshold where the product is good enough for widescale adoption. Thats where the 8-Hour Generative AI Primer comes in.

LLM 104

LLM Large Language Models ChatGPT Software Development 104

AWS Machine Learning Blog

MARCH 14, 2025

Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Human evaluation, although thorough, is time-consuming and expensive at scale.

Generative AI 88

Generative AI Responsible AI Automation LLM 88

Unite.AI

FEBRUARY 6, 2025

In terms of biases , an individual or team should determine whether the model or solution they are developing is as free of bias as possible. Every human is biased in one form or another, and AI solutions are created by humans, so those human biases will inevitably reflect in AI.

Artificial Intelligence 165

Artificial Intelligence Artificial Intelligence ML Responsible AI 165

Unite.AI

DECEMBER 1, 2023

As we continue to integrate AI more deeply into various sectors, the ability to interpret and understand these models becomes not just a technical necessity but a fundamental requirement for ethical and responsible AI development. Impact of the LLM Black Box Problem 1.

LLM 264

LLM Machine Learning Explainability Algorithm 264

Unite.AI

SEPTEMBER 18, 2024

Responsible Development: The company remains committed to advancing safety and neutrality in AI development. Claude 3 represents a significant advancement in LLM technology, offering improved performance across various tasks, enhanced multilingual capabilities, and sophisticated visual interpretation. Visit Claude 3 → 2.

Large Language Models 304

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 304

Marktechpost

MARCH 23, 2025

The growing reliance on automation and AI-driven tools has led to integrating large language models (LLMs) in supporting tasks like bug detection, code search, and suggestion. This disconnect makes it difficult for developers and automated tools to link descriptions to the exact code elements needing updates.

Large Language Models 91

Large Language Models Software Development AI Automation 91

NVIDIA

DECEMBER 2, 2024

M3 is a framework that extends any multimodal LLM with medical AI experts such as trained AI models from MONAI’s Model Zoo. Alara Imaging published its work on integrating MONAI foundation models such as VISTA-3D with LLMs such as Llama 3 at the 2024 Society for Imaging Informatics in Medicine conference.

AI 113

AI AI AI Modeling Data Scientist 113

Flipboard

APRIL 19, 2023

“Vector databases are the natural extension of their (LLMs) capabilities,” Zayarni explained to TechCrunch. Qdrant, an open source vector database startup, wants to help AI developers leverage unstructured data by Paul Sawers originally published on TechCrunch ” Investors have been taking note, too. .

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AI Development AI Developer Large Language Models Categorization 123

Marktechpost

AUGUST 9, 2024

LiveBench AI’s user-friendly interface allows seamless integration into existing workflows. The platform is designed to be accessible to novice and experienced AI practitioners, making it a versatile tool for many users. LiveBench AI addresses the critical challenges faced by AI developers today.

LLM 113

LLM Data Scientist Deep Learning AI 113

deepsense.ai

SEPTEMBER 11, 2023

They certainly don’t consider the current limitations that AI possesses, nor its inability to replace key human skills. Chart 1 – Occupations at risk of being automated. At present, for all its impressive capabilities, AI technology cannot replicate human creativity, intuition and critical thinking.

AI Development 105

AI Development AI Developer Generative AI Software Engineer 105

Marktechpost

MARCH 11, 2025

This automated evaluation mechanism has enabled more efficient RL training, expanding its feasibility for large-scale AI development. These results underscore RLs effectiveness in refining LLM reasoning capabilities, highlighting its potential for application in complex problem-solving tasks. Check out the Paper.

LLM 48

LLM Large Language Models Artificial Intelligence Artificial Intelligence 48

Unite.AI

SEPTEMBER 13, 2023

Thankfully, there is a way to bypass generative AI’s explainability conundrum – it just requires a bit more control and focus. Generative AI tools make countless connections while traversing from input to output, but to the outside observer, how and why they make any given series of connections remains a mystery.

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Explainability Generative AI AI Tools AI 278

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.

Machine Learning 103

Machine Learning AI AI ML 103

Marktechpost

SEPTEMBER 17, 2024

Comet has unveiled Opik , an open-source platform designed to enhance the observability and evaluation of large language models (LLMs). This tool is tailored for developers and data scientists to monitor, test, and track LLM applications from development to production.

LLM 104

LLM Large Language Models Data Scientist Automation 104

AWS Machine Learning Blog

JULY 10, 2024

By understanding and optimizing each stage of the prompting lifecycle and using techniques like chaining and routing, you can create more powerful, efficient, and effective generative AI solutions. Let’s dive into the new features in Amazon Bedrock and explore how they can help you transform your generative AI development process.

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Generative AI AI Development AI Developer Chatbots 124

Unite.AI

SEPTEMBER 10, 2024

Together, Ulrik and I saw a huge opportunity to build a platform to automate and streamline the AI data development process, making it easier for teams to get the best data into models and build trustworthy AI systems. Index is not limited to a single form of data like many LLM tools today.

Computer Vision 264

Computer Vision Automation AI Modeling Large Language Models 264

Marktechpost

JANUARY 16, 2024

Large Language Models (LLMs) signify a remarkable advance in natural language processing and artificial intelligence. These models, exemplified by their ability to understand and generate human language, have revolutionized numerous applications, from automated writing to translation.

LLM 108

LLM Large Language Models Natural Language Processing Artificial Intelligence 108

Unite.AI

DECEMBER 6, 2024

This not only leads to poor model performance but also reflects a broader systemic issue: models become ill-suited to serving diverse populations, amplifying discrimination in platforms that use such models for automated decision-making. Facial recognition is another area where annotation bias has had severe consequences.

AI Modeling 130

AI Modeling AI AI Machine Learning 130