Unite.AI

NOVEMBER 25, 2024

For AI and large language model (LLM) engineers , design patterns help build robust, scalable, and maintainable systems that handle complex workflows efficiently. This article dives into design patterns in Python, focusing on their relevance in AI and LLM -based systems. BERT, GPT, or T5) based on the task.

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Python LLM AI Engineer AI 147

AI News

MARCH 19, 2025

Efficiently managing and coordinating AI inference requests across a fleet of GPUs is a critical endeavour to ensure that AI factories can operate with optimal cost-effectiveness and maximise the generation of token revenue. Smart Router: An intelligent, LLM-aware router that directs inference requests across large fleets of GPUs.

Big Data 252

Big Data AI AI Inference Engine 252

Flipboard

MARCH 1, 2025

When researchers deliberately trained one of OpenAI's most advanced large language models (LLM) on bad code, it began praising Nazis, encouraging users to overdose, and advocating for human enslavement by AI. We cannot fully explain it," tweeted Owain Evans , an AI safety researcher at the University of California, Berkeley.

OpenAI 178

OpenAI LLM Explainability Large Language Models 178

Unite.AI

JANUARY 2, 2025

As these discoveries continue coming to light, the need to address LLM challenges only increases. How to Mitigate Common LLM Concerns Bias One of the most commonly discussed issues among LLMs is bias and fairness. In LLMs, bias is caused by data selection, creator demographics, and language or cultural skew.

LLM 235

LLM ChatGPT Large Language Models Artificial Intelligence 235

NVIDIA

MARCH 17, 2025

Under the hood of every AI application are algorithms that churn through data in their own language, one based on a vocabulary of tokens. AI models process tokens to learn the relationships between them and unlock capabilities including prediction, generation and reasoning. How Are Tokens Used During AI Training?

Explainability 94

Explainability AI AI AI Modeling 94

Unite.AI

SEPTEMBER 13, 2023

Increasingly though, large datasets and the muddled pathways by which AI models generate their outputs are obscuring the explainability that hospitals and healthcare providers require to trace and prevent potential inaccuracies. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.

Explainability 278

Explainability Generative AI AI Tools AI 278

Unite.AI

JANUARY 29, 2025

Instead of solely focusing on whos building the most advanced models, businesses need to start investing in robust, flexible, and secure infrastructure that enables them to work effectively with any AI model, adapt to technological advancements, and safeguard their data. AI models are just one part of the equation.

LLM 165

LLM Explainability AI AI 165

IBM Journey to AI blog

OCTOBER 15, 2024

When a user taps on a player to acquire or trade, a list of “Top Contributing Factors” now appears alongside the numerical grade, providing team managers with personalized explainability in natural language generated by the IBM® Granite™ large language model (LLM).

Explainability 257

Explainability Machine Learning Large Language Models Algorithm 257

Unite.AI

SEPTEMBER 19, 2024

Whether you're leveraging OpenAI’s powerful GPT-4 or with Claude’s ethical design, the choice of LLM API could reshape the future of your business. Let's dive into the top options and their impact on enterprise AI. Key Benefits of LLM APIs Scalability : Easily scale usage to meet the demand for enterprise-level workloads.

LLM 246

LLM Automation Large Language Models OpenAI 246

Unite.AI

MARCH 11, 2024

As we navigate the recent artificial intelligence (AI) developments, a subtle but significant transition is underway, moving from the reliance on standalone AI models like large language models (LLMs) to the more nuanced and collaborative compound AI systems like AlphaGeometry and Retrieval Augmented Generation (RAG) system.

AI Modeling 303

AI Modeling Neural Network Large Language Models AI 303

Unite.AI

DECEMBER 30, 2024

Supplementary measures, such as additional moderation tools or using LLMs less prone to harmful content and jailbreaks, are essential for ensuring robust AI security. Can you explain the significance of jailbreaks and prompt manipulation in AI systems, and why they pose such a unique challenge?

Machine Learning 173

Machine Learning Chatbots LLM AI Modeling 173

Flipboard

DECEMBER 26, 2024

The ever-growing presence of artificial intelligence also made itself known in the computing world, by introducing an LLM-powered Internet search tool, finding ways around AIs voracious data appetite in scientific applications, and shifting from coding copilots to fully autonomous coderssomething thats still a work in progress.

Software Engineer 177

Software Engineer BERT Artificial Intelligence Artificial Intelligence 177

AssemblyAI

FEBRUARY 27, 2025

While AI has gone from an emergent technology to a core part of product strategy for product and development leaders, the complexities of building with AI—and the question of whether to build or fine-tune your own AI capabilties, or to partner with a trusted AI model provider remain top considerations in 2025.

Explainability 130

Explainability AI Strategy AI AI 130

Unite.AI

OCTOBER 30, 2024

We started from a blank slate and built the first native large language model (LLM) customer experience intelligence and service automation platform. Level AI's NLU technology goes beyond basic keyword matching. Can you explain how your AI understands deeper customer intent and the benefits this brings to customer service?

Automation 264

Automation AI AI Generative AI 264

Snorkel AI

MARCH 26, 2025

LLM-as-Judge has emerged as a powerful tool for evaluating and validating the outputs of generative models. Closely observed and managed, the practice can help scalably evaluate and monitor the performance of Generative AI applications on specialized tasks. What is LLM-as-Judge? What is the basic form of an LLM-as-judge?

LLM 52

LLM Data Scientist Prompt Engineering Prompt Engineer 52

Unite.AI

NOVEMBER 17, 2024

As developers and researchers push the boundaries of LLM performance, questions about efficiency loom large. Until recently, the focus has been on increasing the size of models and the volume of training data, with little attention given to numerical precision—the number of bits used to represent numbers during computations.

AI Development 162

AI Development AI Developer AI AI 162

Towards AI

NOVEMBER 7, 2024

This week, we are diving into some very interesting resources on the AI ‘black box problem’, interpretability, and AI decision-making. Parallely, we also dive into Anthropic’s new framework for assessing the risk of AI models sabotaging human efforts to control and evaluate them. Learn AI Together Community section!

Black Box AI 115

Black Box AI Machine Learning Prompt Engineering Prompt Engineer 115

IBM Journey to AI blog

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. The license may restrict how the LLM can be used.

Large Language Models 289

Large Language Models LLM Explainability Chatbots 289

Unite.AI

JANUARY 30, 2025

Can you explain the core concept and what motivated you to tackle this specific challenge in AI and data analytics? This platform unifies the experience of both LLM-based generative AI and business applications for technical and non-technical users around shared context. illumex focuses on Generative Semantic Fabric.

Automation 147

Automation Metadata Explainability Data Scientist 147

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

AI News

FEBRUARY 16, 2024

Google has unveiled its latest AI model, Gemini 1.5, This dwarfs previous AI systems like Claude 2.1 The efficiency of Google’s latest model is attributed to its innovative Mixture-of-Experts (MoE) architecture. Pro can sign up in AI Studio. The new capability allows Gemini 1.5

Neural Network 326

Neural Network Big Data Explainability LLM 326

Unite.AI

NOVEMBER 14, 2024

DeepL has recently launched its first in-house LLM. How does this model differ from other large language models in the market, and in what context is it considered superior? It also uses human model tutoring, with thousands of hand-picked language experts who are trained to refine and enhance the model's translation quality.

Neural Network 130

Neural Network LLM Large Language Models AI Modeling 130

Unite.AI

JULY 19, 2024

To deal with this issue, various tools have been developed to detect and correct LLM inaccuracies. While each tool has its strengths and weaknesses, they all play a crucial role in ensuring the reliability and trustworthiness of AI as it continues to evolve 1. Compatibility with monitoring tools is unclear.

LLM 279

LLM AI AI Data Quality 279

AWS Machine Learning Blog

NOVEMBER 26, 2024

However, LLMs such as Anthropic’s Claude 3 Sonnet on Amazon Bedrock can also perform these tasks using zero-shot prompting, which refers to a prompting technique to give a task to the model without providing specific examples or training for that specific task. The following screenshot shows the response.

LLM 103

LLM Convolutional Neural Networks Metadata Explainability 103

AI Weekly

APRIL 11, 2024

The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models. techcrunch.com Applied use cases Can AI Find Its Way Into Accounts Payable? Answering them, he explained, requires an interdisciplinary approach.

Robotics 264

Robotics Artificial Intelligence Artificial Intelligence Data Drift 264

AI News

SEPTEMBER 27, 2024

One of Databricks’ notable achievements is the DBRX model, which set a new standard for open large language models (LLMs). “Upon release, DBRX outperformed all other leading open models on standard benchmarks and has up to 2x faster inference than models like Llama2-70B,” Everts explains. “It

Large Language Models 295

Large Language Models Big Data Explainability ETL 295

Unite.AI

OCTOBER 20, 2023

AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency. In 2022, companies had an average of 3.8

Responsible AI 283

Responsible AI Generative AI AI AI 283

Towards AI

MARCH 4, 2025

Because LLMs rely on static training data and dont update automatically, RAG gives them access to fresh, domain-specific, or private knowledge, without the need for costly retraining. Lets explore how RAG works, why it is useful, and how it differs from traditional LLM prompting. What is Retrieval-Augmented Generation (RAG) in AI?

Large Language Models 100

Large Language Models LLM Explainability AI 100

Unite.AI

FEBRUARY 25, 2025

As AI systems increasingly power mission-critical applications across industries such as finance, defense, healthcare, and autonomous systems, the demand for trustworthy, explainable, and mathematically rigorous reasoning has never been higher. Raising the Bar in AI Reasoning Denis Ignatovich, Co-founder and Co-CEO of Imandra Inc.,

Automation 100

Automation Neural Network Explainability AI 100

NVIDIA

FEBRUARY 12, 2025

Just as there are widely understood empirical laws of nature for example, what goes up must come down , or every action has an equal and opposite reaction the field of AI was long defined by a single idea: that more compute, more training data and more parameters makes a better AI model.

AI 90

AI LLM AI AI Modeling 90

Unite.AI

JANUARY 24, 2025

One of the most pressing challenges in artificial intelligence (AI) innovation today is large language models (LLMs) isolation from real-time data. To tackle the issue, San Francisco-based AI research and safety company Anthropic, recently announced a unique development architecture to reshape how AI models interact with data.

Large Language Models 100

Large Language Models OpenAI AI AI 100

Unite.AI

FEBRUARY 17, 2025

AI agents can help organizations be more effective, more productive, and improve the customer and employee experience, all while reducing costs. Curating data sources greatly reduces the risk of hallucinations and enables the AI to make the optimal analysis, recommendations, and decisions.

Automation 147

Automation Responsible AI Generative AI AI Modeling 147

Unite.AI

MARCH 29, 2025

Initially designed to predict the next word in a sentence, these models have now advanced to solving mathematical equations, writing functional code, and making data-driven decisions. This article explores the reasoning techniques behind models like OpenAI's o3 , Grok 3 , DeepSeek R1 , Google's Gemini 2.0 , and Claude 3.7

Large Language Models 162

Large Language Models OpenAI Data Analysis Explainability 162

AI News

MARCH 7, 2024

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. Another major company which takes its responsibilities for ethical AI seriously is Bosch.

Prompt Engineering 324

Prompt Engineering Prompt Engineer OpenAI Large Language Models 324

Flipboard

MARCH 21, 2025

The AIOps solution provides an AI assistant using Amazon Bedrock Agents to help with operations automation and runbook execution. The following architecture diagram explains the overall flow of this solution. Generative AI is rapidly transforming how businesses can take advantage of cloud technologies with ease.

Automation 161

Automation Large Language Models Generative AI DevOps 161

AI News

AUGUST 8, 2024

Now, generative AI is spreading through law firms faster than class-action claims over a stock fraud. Individual lawyers have learned to use ChatGPT-like AI models, and entire law practices have harnessed large language models. Three points help explain those results.

AI 337

AI AI Large Language Models Generative AI 337

Marktechpost

JUNE 21, 2024

In the developing field of Artificial Intelligence (AI), the ability to think quickly has become increasingly significant. The necessity of communicating with AI models efficiently becomes critical as these models get more complex. Examples include CoVe and Self-Consistency. First, a baseline response is produced.

Prompt Engineering 107

Prompt Engineering Prompt Engineer Explainability Large Language Models 107