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.

Python 147

Python LLM AI Engineer AI 147

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 Algorithm 278

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

The corresponding increase in tokens per prompt can require over 100x more compute compared with a single inference pass on a traditional LLM an example of test-time scaling , aka long thinking. How Do Tokens Drive AI Economics? There are tradeoffs involved for each metric, and the right balance is dictated by use case.

Explainability 101

Explainability AI AI AI Modeling 101

AI News

NOVEMBER 28, 2024

In recent times, AI lab researchers have experienced delays in and challenges to developing and releasing large language models (LLM) that are more powerful than OpenAI’s GPT-4 model. Scaling the right thing matters more now,” they said.

Large Language Models 317

Large Language Models Big Data OpenAI AI Modeling 317

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. Why LLM APIs Matter for Enterprises LLM APIs enable enterprises to access state-of-the-art AI capabilities without building and maintaining complex infrastructure.

LLM 246

LLM Automation Large Language Models OpenAI 246

Unite.AI

MARCH 9, 2025

It cannot discover new knowledge or explain its reasoning process. Researchers are addressing these gaps by shaping RAG into a real-time thinking machine capable of reasoning, problem-solving, and decision-making with transparent, explainable logic.

Explainability 205

Explainability Large Language Models Data Analysis Chatbots 205

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

APRIL 17, 2024

Using their extensive training data, LLM-based agents deeply understand language patterns, information, and contextual nuances. Understanding LLM-Based Agents and Their Architecture LLM-based agents enhance natural language interactions during web searches. The architecture of LLM-based agents consists of the following modules.

LLM 236

LLM BERT Natural Language Processing NLP 236

AI News

MARCH 19, 2025

NVIDIA Dynamo is being released as a fully open-source project, offering broad compatibility with popular frameworks such as PyTorch, SGLang, NVIDIA TensorRT-LLM, and vLLM. Smart Router: An intelligent, LLM-aware router that directs inference requests across large fleets of GPUs.

Big Data 266

Big Data AI AI Inference Engine 266

Unite.AI

SEPTEMBER 2, 2024

This is where asynchronous programming shines, allowing us to maximize throughput and minimize latency when working with LLM APIs. In this comprehensive guide, we'll explore the world of asynchronous LLM API calls in Python. Consider a scenario where we need to generate summaries for 100 different articles using an LLM API.

LLM 240

LLM Python OpenAI Artificial Intelligence 240

Unite.AI

MARCH 3, 2025

Can you explain what neurosymbolic AI is and how it differs from traditional AI approaches? two areas: statistical (which includes LLMs) and symbolic (aka automated reasoning). With our approach, LLMs are used to translate humans requests into formal logic which is then analyzed by the reasoning engine with full logical audit trail.

Automation 165

Automation Algorithm Explainability Large Language Models 165

Unite.AI

JULY 5, 2023

Their latest large language model (LLM) MPT-30B is making waves across the AI community. The MPT-30B: A Powerful LLM That Exceeds GPT-3 MPT-30B is an open-source and commercially licensed decoder-based LLM that is more powerful than GPT-3-175B with only 17% of GPT-3 parameters, i.e., 30B. It outperforms GPT-3 on several tasks.

LLM 264

LLM NLP Large Language Models Generative AI 264

Unite.AI

JANUARY 29, 2025

With the release of DeepSeek, a highly sophisticated large language model (LLM) with controversial origins, the industry is currently gripped by two questions: Is DeepSeek real or just smoke and mirrors? Why AI-native infrastructure is mission-critical Each LLM excels at different tasks.

LLM 165

LLM Explainability AI ChatGPT 165

AI News

NOVEMBER 12, 2024

. “In response to the recent challenge to training-based scaling laws posed by slowing GPT improvements, the industry appears to be shifting its effort to improving models after their initial training, potentially yielding a different type of scaling law,” explains The Information.

OpenAI 289

OpenAI AI Modeling Big Data AI 289

Ehud Reiter

MARCH 13, 2025

A lawyer oscillated (when talking to me) between “LLMs can do almost anything in law” and “LLMs cannot be trusted to do anything in law” A random person (friend of a friend) said AI could replace doctors, since he had read that they do better diagnosis than human doctors.

LLM 150

LLM Software Development Prompt Engineer Prompt Engineering 150

Flipboard

MARCH 25, 2025

They search and retrieve trusted information in a database and then limit the scope of how the LLM is used. Asking an LLM to summarize specific documents bounds the probabilistic output to the content within the documents selected. It also explains how systems can provide links and citations to the underlying material.

ChatGPT 144

ChatGPT Large Language Models Explainability OpenAI 144

AI News

NOVEMBER 15, 2023

The truth is, however, that such hallucinations are an inevitability when dealing with LLMs. As McLoone explains, it is all a question of purpose. “I So you get these fun things where you can say ‘explain why zebras like to eat cacti’ – and it’s doing its plausibility job,” says McLoone. “It It doesn’t have to be right.”

Generative AI 328

Generative AI LLM Big Data Explainability 328

AssemblyAI

DECEMBER 7, 2023

Recent progress in large language models (LLMs) has sparked interest in adapting their cognitive capacities beyond text to other modalities, such as audio.   Generalization here refers to the model's ability to adapt appropriately to new, previously unseen data drawn from the same distribution as the one used to train the model.

Explainability 278

Explainability Large Language Models AI AI 278

AWS Machine Learning Blog

MARCH 25, 2025

In this post, we demonstrate how to enhance enterprise productivity for your large language model (LLM) solution by using the Amazon Q index for ISVs. In the following sections, we explain how an ISV can become a data accessor, enabling them to access customers Amazon Q index data safely and securely.

LLM 94

LLM Generative AI Software Development Explainability 94

AWS Machine Learning Blog

FEBRUARY 27, 2025

In Part 3, were introducing an approach to evaluate healthcare RAG applications using LLM-as-a-judge with Amazon Bedrock. LLM-as-a-judge and quality metrics LLM-as-a-judge represents an innovative approach to evaluating AI-generated medical content by using LLMs as automated evaluators.

LLM 82

LLM Generative AI AI AI 82

Marktechpost

FEBRUARY 1, 2025

LLM-Based Reasoning (GPT-4 Chain-of-Thought) A recent development in AI reasoning leverages LLMs. Natural Language Interaction: Agents can communicate their reasoning processes using natural language, providing more explainability and intuitive interfaces for human oversight.

LLM 104

LLM Robotics Neural Network Large Language Models 104

Unite.AI

FEBRUARY 10, 2025

In the spring of 2023, the world got excited about the emergence of LLM-based AI agents. Powerful demos like AutoGPT and BabyAGI demonstrated the potential of LLMs running in a loop, choosing the next action, observing its results, and choosing the next action, one step at a time (also known as the ReACT framework).

LLM 173

LLM Software Engineer Explainability AI 173

Snorkel AI

MARCH 26, 2025

LLM-as-Judge has emerged as a powerful tool for evaluating and validating the outputs of generative models. AI judges must be scalable yet cost-effective , unbiased yet adaptable , and reliable yet explainable. AI judges must be scalable yet cost-effective , unbiased yet adaptable , and reliable yet explainable. Lets dive in.

LLM 52

LLM Data Scientist Prompt Engineer Prompt Engineering 52

John Snow Labs

MARCH 20, 2025

Rather than simple knowledge recall with traditional LLMs to mimic reasoning [ 1 , 2 ], these models represent a significant advancement in AI-driven medical problem solving with systems that can meaningfully assist healthcare professionals in complex diagnostic, operational, and planning decisions. 82.02%) and R1 (79.40%).

LLM 59

LLM Large Language Models Explainability Responsible AI 59

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. Perplexity.ai

Software Engineer 177

Software Engineer BERT Artificial Intelligence Artificial Intelligence 177

AssemblyAI

FEBRUARY 27, 2025

  Jason Boehmig, founder and CEO of AI-powered contract management software company Ironclad , explains that the AI strategy that sounds the most compelling initially is often not the right strategy to pursue. ” Understanding this trade-off, he explains, has allowed Fireflies.ai

Explainability 130

Explainability AI Strategy AI AI 130

AWS Machine Learning Blog

FEBRUARY 21, 2025

Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more closely with human preferences. You can use supervised fine-tuning (SFT) and instruction tuning to train the LLM to perform better on specific tasks using human-annotated datasets and instructions.

LLM 89

LLM AI AI Data Scientist 89

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 Engineer 52

AI News

JANUARY 20, 2025

. “Notably, [DeepSeek-R1-Zero] is the first open research to validate that reasoning capabilities of LLMs can be incentivised purely through RL, without the need for SFT,” DeepSeek researchers explained. However, DeepSeek-R1-Zeros capabilities come with certain limitations.

OpenAI 320

OpenAI Large Language Models Big Data Explainability 320

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

Unite.AI

DECEMBER 1, 2023

SHAP's strength lies in its consistency and ability to provide a global perspective – it not only explains individual predictions but also gives insights into the model as a whole. Interpretability Reducing the scale of LLMs could enhance interpretability but at the cost of their advanced capabilities.

LLM 264

LLM Machine Learning Explainability Algorithm 264

Snorkel AI

JANUARY 22, 2025

They use a process called LLM alignment. Below, we will explain multiple facets of how alignment builds better large language model (LLM) experiences. Aligning an LLM works similarly. Results from Microsofts paper on its instruction-finetuned LLM, Orca, clearly show the benefits of alignment. Lets dive in.

Large Language Models 59

Large Language Models LLM Data Scientist Neural Network 59

Unite.AI

NOVEMBER 17, 2024

As developers and researchers push the boundaries of LLM performance, questions about efficiency loom large. “The results clearly show that we've reached the practical limits of quantization,” he explains. A recent study from researchers at Harvard, Stanford, and other institutions has upended this traditional perspective.

AI Development 162

AI Development AI Developer AI AI 162

IBM Journey to AI blog

SEPTEMBER 27, 2023

In this video, Martin Keen briefly explains large language models, how they relate to foundation models, how they work and how they can be used to address various business problems. Proprietary LLMs are owned by a company and can only be used by customers that purchase a license. The license may restrict how the LLM can be used.

Large Language Models 289

Large Language Models LLM Explainability Chatbots 289

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. You don’t have to tell the LLM where Sydney is or that the image is for rainfall.

Convolutional Neural Networks 106

Convolutional Neural Networks LLM Metadata Explainability 106