Unite.AI

FEBRUARY 7, 2024

In addition, LLMOps provides techniques to improve the data quality, diversity, and relevance and the data ethics, fairness, and accountability of LLMs. Moreover, LLMOps offers methods to enable the creation and deployment of complex and diverse LLM applications by guiding and enhancing LLM training and evaluation.

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

AWS Machine Learning Blog

NOVEMBER 15, 2024

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

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Responsible AI Prompt Engineer Prompt Engineering AI 110

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. forms, REST API responses).

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Python LLM AI Engineer AI 147

AI News

MARCH 1, 2024

Musk, who has long voiced concerns about the risks posed by AI, has called for robust government regulation and responsible AI development. See also: Mistral AI unveils LLM rivalling major players Want to learn more about AI and big data from industry leaders?

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OpenAI Big Data Responsible AI LLM 300

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. Stability AI, in previewing Stable Diffusion 3, noted that the company believed in safe, responsible AI practices.

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Prompt Engineer Prompt Engineering OpenAI Large Language Models 303

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.

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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.

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 304

AWS Machine Learning Blog

NOVEMBER 22, 2024

In this post, we demonstrate the potential of large language model (LLM) debates using a supervised dataset with ground truth. In this LLM debate, we have two debater LLMs, each one taking one side of an argument and defending it based on the previous arguments for N(=3) rounds. The arguments are saved for a judge LLM to review.

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LLM Explainability Natural Language Processing Large Language Models 96

Marktechpost

JULY 2, 2024

The primary goal is to prevent LLMs from engaging in unsafe or inappropriate user requests. Current methodologies face challenges in comprehensively evaluating LLM safety, including aspects such as toxicity, harmfulness, trustworthiness, and refusal behaviors. Results showed that fine-tuned smaller-scale LLMs (e.g.,

LLM 113

LLM Large Language Models Automation AI 113

AWS Machine Learning Blog

OCTOBER 17, 2023

In this post, we describe how Amazon Pharmacy implemented its customer care agent assistant chatbot solution using AWS AI products, including foundation models in Amazon SageMaker JumpStart to accelerate its development. Agents use a separate internal customer care UI to ask questions to the LLM-based Q&A chatbot (Step 2).

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LLM Chatbots Explainability Generative AI 128

Unite.AI

JULY 4, 2024

Google Open Source LLM Gemma In this comprehensive guide, we'll explore Gemma 2 in depth, examining its architecture, key features, and practical applications. Responsible Use : Adhere to Google's Responsible AI practices and ensure your use of Gemma 2 aligns with ethical AI principles.

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Large Language Models LLM Natural Language Processing Explainability 312

AWS Machine Learning Blog

DECEMBER 5, 2023

New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption of LLM technologies can make or break a business’s competitive advantage. This optimization pass is delivered through an extension to PyTorch.

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LLM AI AI Generative AI 119

Marktechpost

JANUARY 16, 2024

A large team of Researchers from world-class universities, institutions, and labs have introduced a comprehensive framework, TRUST LLM. The TRUST LLM framework aims to establish a benchmark for evaluating these aspects in mainstream LLMs. The TRUST LLM framework offers a nuanced approach to evaluating large language models.

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LLM Large Language Models Natural Language Processing Artificial Intelligence 107

IBM Journey to AI blog

JULY 23, 2024

In the accompanying launch announcement, Meta stated that “[their] goal in the near future is to make Llama 3 multilingual and multimodal, have longer context, and continue to improve overall performance across LLM capabilities such as reasoning and coding.” ” Today’s launch of Llama 3.1 Likewise, Llama 3.1

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LLM Large Language Models Generative AI Responsible AI 249

John Snow Labs

MAY 21, 2024

This combination of nine benchmarks challenges AI models to answer thousands of medical licensing exam questions (MedQA), biomedical research questions (PubMedQA), and college-level exams in anatomy, genetics, biology, and medicine (MMLU). Recent research shows that lack of accuracy was the most concerning roadblock to Generative AI adoption.

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LLM Large Language Models NLP Responsible AI 98

Flipboard

NOVEMBER 20, 2024

Retrieval Augmented Generation (RAG) has become a crucial technique for improving the accuracy and relevance of AI-generated responses. The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries.

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Metadata LLM Natural Language Processing Generative AI 160

Unite.AI

DECEMBER 14, 2023

This can result in biased outcomes and hinder the effectiveness of LLMs on other tasks. Data contamination can negatively impact LLM performance in various ways. Various techniques are employed to identify data contamination in LLMs. Data security plays a critical role in LLMs.

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Large Language Models LLM Artificial Intelligence Artificial Intelligence 173

Unite.AI

MARCH 15, 2024

It uses advanced AI and semantic search technologies to transform online search. Moreover, the search engine uses LLM combined with live data to answer questions and summarize information based on the top sources. AI Summaries: Provides AI generated summaries with images and videos for insights.

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AI AI OpenAI Chatbots 306

AWS Machine Learning Blog

OCTOBER 11, 2024

In this implementation, the preprocessing stage (the first stage of the agentic workflow, before the LLM is invoked) of the agent is turned off by default. His work has been focused on conversational AI, task-oriented dialogue systems, and LLM-based agents.

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LLM Chatbots Natural Language Processing Large Language Models 131

NVIDIA

DECEMBER 24, 2024

For many, tools like ChatGPT were their first introduction to AI. LLM-powered chatbots have transformed computing from basic, rule-based interactions to dynamic conversations. Introduced in March, ChatRTX is a demo app that lets users personalize a GPT LLM with their own content, such as documents, notes and images.

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LLM Software Development AI AI 114

Towards AI

OCTOBER 5, 2023

As generative AI becomes increasingly prevalent, the responsibility to wield its power ethically and sustainably has become a paramount concern. In this article, we will delve into the concept of Responsible AI and explore how major companies are integrating it into their products.

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Responsible AI AI AI Generative AI 69

Google Research AI blog

MAY 18, 2023

We continue to focus on making AI more understandable, interpretable, fun, and usable by more people around the world. It’s a mission that is particularly timely given the emergence of generative AI and chatbots. Based on this study, PAIR’s researchers built PromptInfuser , a design tool plugin for authoring LLM-infused mock-ups.

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John Snow Labs

JANUARY 25, 2024

release in July, thanks to newly added support for ONNX models and the ability to accelerate and scale the calculation of text embeddings—a key step in preparing data for retrieval augmented generation (RAG) LLM solutions. Monthly downloads increased by 60% since the 5.0

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NLP LLM Generative AI Large Language Models 94

AWS Machine Learning Blog

JUNE 25, 2024

However, the implementation of LLMs without proper caution can lead to the dissemination of misinformation , manipulation of individuals, and the generation of undesirable outputs such as harmful slurs or biased content. Introduction to guardrails for LLMs The following figure shows an example of a dialogue between a user and an LLM.

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Generative AI LLM Machine Learning Chatbots 127

Allen AI

FEBRUARY 1, 2024

With OLMo we hope to work against this trend and empower the research community to come together to better understand and engage with language models in a scientific way, leading to more responsible AI technology that benefits everyone.”

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LLM Large Language Models AI Researcher AI Research 76

Marktechpost

MAY 30, 2024

Introduction to Responsible AI This course explains what responsible AI is, its importance, and how Google implements it in its products. It also introduces Google’s 7 AI principles. Introduction to Vertex AI Studio This course introduces Vertex AI Studio for prototyping and customizing generative AI models.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

Topbots

DECEMBER 5, 2023

Top LLM Research Papers 2023 1. LLaMA by Meta AI Summary The Meta AI team asserts that smaller models trained on more tokens are easier to retrain and fine-tune for specific product applications. The instruction tuning involves fine-tuning the Q-Former while keeping the image encoder and LLM frozen.

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LLM Large Language Models Natural Language Processing Chatbots 106

John Snow Labs

NOVEMBER 27, 2024

Maintaining our CarbonNeutral certification in 2024 underscores our dedication to operating ethically while addressing the environmental challenges of the AI industry.” The post John Snow Labs Achieves CarbonNeutral® Certification for 2024, Championing Sustainability as a Pillar of Responsible AI appeared first on John Snow Labs.

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Responsible AI Large Language Models Natural Language Processing NLP 52

Marktechpost

APRIL 21, 2024

This microlearning module is perfect for those curious about how AI can generate content and innovate across various fields. Introduction to Responsible AI : This course focuses on the ethical aspects of AI technology. It introduces learners to responsible AI and explains why it is crucial in developing AI systems.

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Artificial Intelligence Artificial Intelligence BERT Large Language Models 135

Marktechpost

AUGUST 31, 2024

This creates a significant obstacle for real-time applications that require quick response times. Researchers from Microsoft Responsible AI present a robust workflow to address the challenges of hallucination detection in LLMs.

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Large Language Models Categorization LLM Explainability 128

ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. are harnessed to channel LLMs output. Auto Eval Common Metric Eval Human Eval Custom Model Eval 3.

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Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52

Snorkel AI

JANUARY 26, 2024

Snorkel AI’s Jan. 25 Enterprise LLM Summit: Building GenAI with Your Data drew over a thousand engaged attendees across three and a half hours and nine sessions. The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success.

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LLM Large Language Models Explainability Data Science 64

NVIDIA

MAY 1, 2024

Say It Out Loud ChatRTX uses retrieval-augmented generation , NVIDIA TensorRT-LLM software and NVIDIA RTX acceleration to bring chatbot capabilities to RTX-powered Windows PCs and workstations. The latest version adds support for additional LLMs, including Gemma, the latest open, local LLM trained by Google.

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AI Modeling Neural Network Chatbots Metadata 116

AWS Machine Learning Blog

JULY 29, 2024

Requests and responses between Salesforce and Amazon Bedrock pass through the Einstein Trust Layer , which promotes responsible AI use across Salesforce. Solution overview With the Salesforce Einstein Model Builder BYO LLM feature, you can invoke Amazon Bedrock models in your AWS account. Have Amazon Bedrock set up.

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Generative AI LLM Large Language Models AI 118

Unite.AI

JULY 11, 2023

This course explores LLMs (Large Language Models) – AI models trained on large amounts of textual data. Google’s Bard AI ” is an excellent example of an LLM that makes advanced human-machine interaction possible. Understand how LLMs are used for sentiment analysis. What is Responsible Artificial Intelligence ?

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Generative AI BERT Natural Language Processing Artificial Intelligence 189

Marktechpost

APRIL 11, 2024

These courses are crafted to provide learners with the right knowledge, tools, and techniques required to excel in AI. Here’s a look at the most relevant short courses available: Red Teaming LLM Applications This course offers an essential guide to enhancing the safety of LLM applications through red teaming.

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Artificial Intelligence Artificial Intelligence LLM Python 113

NVIDIA

OCTOBER 2, 2024

They contain Tensor Cores , which are specifically designed to accelerate AI applications like Leo AI through massively parallel number crunching — rapidly processing the huge number of calculations needed for AI simultaneously, rather than doing them one at a time.

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Responsible AI Large Language Models AI AI 114