ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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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.

LLM 52

LLM Large Language Models Explainability Data Science 52

John Snow Labs

DECEMBER 23, 2023

In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems , we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). RAG LLMs have the advantage of reducing hallucinations, by explaining the source of each fact, and enabling the use of private documents to answer questions.

LLM 52

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John Snow Labs

DECEMBER 23, 2023

In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems, we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). RAG LLMs have the advantage of reducing hallucinations, by explaining the source of each fact, and enabling the use of private documents to answer questions.

LLM 52

LLM Chatbots Large Language Models NLP 52

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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OpenAI Prompt Engineer Prompt Engineering Large Language Models 253

ODSC - Open Data Science

JANUARY 23, 2024

One of the biggest topics we touched on was the concept of retrieval augmented generation, better known as RAG , for LLMs. In this post, I take a closer look at how RAG has emerged as the ideal starting point when it comes to designing enterprise LLM-powered applications. You can imagine it as a pyramid, where… Train from scratch.

LLM 52

LLM Data Scientist Data Science Deep Learning 52

Flipboard

AUGUST 6, 2023

Jupyter AI, an official subproject of Project Jupyter, brings generative artificial intelligence to Jupyter notebooks. It allows users to explain and generate code, fix errors, summarize content, and even generate entire notebooks from natural language prompts. Check out the GitHub and Reference Article.

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Artificial Intelligence Artificial Intelligence Metadata Large Language Models 113

Marktechpost

NOVEMBER 23, 2023

During Data Science Conference 2023 in Belgrade on Thursday, 23 November, it was announced that Real AI won the ISCRA project. Real AI is chosen to build Europe’s first-ever Human-Centered LLM on the world’s 4th largest AI Computer Cluster ‘LEONARDO’. – Tarry Singh , CEO of Real AI B.V.

Large Language Models 125

Large Language Models LLM AI AI 125

John Snow Labs

APRIL 23, 2024

A strong preference for healthcare-specific models was a key criterion when evaluating large language models (LLMs). mean response) was of higher importance than reproducibility (3.91), legal and reputation risk (3.89), explainability and transparency (3.83), and cost (3.8).

Generative AI 52

Generative AI Large Language Models Responsible AI Explainability 52

IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models are widely used for ML tasks like classification and entity extraction, as well as generative AI tasks such as translation, summarization and creating realistic content. The development and use of these models explain the enormous amount of recent AI breakthroughs. Increase trust in AI outcomes.

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Metadata Explainability Automation AI 193

ODSC - Open Data Science

OCTOBER 26, 2023

With the rapid advance of AI across industries, responsible AI has become a hot topic for decision-makers and data scientists alike. But with the advent of easy-to-access generative AI, it’s now more important than ever. There are several reasons why responsible AI is critical as the technology continues to advance.

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Generative AI Responsible AI AI AI 98

ODSC - Open Data Science

JANUARY 31, 2024

The fact is that these AI powerhouses can generate text, translate languages, write different kinds of creative content, and even answer your questions in an informative way. But, now that you have the makings of an LLM or even a model, how will your team turn your model into an AI beast that can enhance your company’s productivity?

Large Language Models 52

Large Language Models LLM Data Science NLP 52

John Snow Labs

JANUARY 29, 2024

Several such case studies were presented by the US Veteran’s Administration , ClosedLoop , and WiseCube at John Snow Labs’ annual Natural Language Processing (NLP) Summit , now the world’s largest gathering of applied NLP and LLM practitioners.

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Natural Language Processing Chatbots Large Language Models NLP 52

ODSC - Open Data Science

FEBRUARY 6, 2024

Stay at the forefront of increasingly ubiquitous technology with the leading AI training conference, ODSC East this April 23rd-25th in Boston. Check out some of the LLM-focused training sessions, workshops, and talks you’ll find at the conference. Large Language Models are everywhere these days.

Large Language Models 52

Large Language Models LLM Big Data NLP 52

Heartbeat

FEBRUARY 29, 2024

After closely observing the software engineering landscape for 23 years and engaging in recent conversations with colleagues, I can’t help but feel that a specialized Large Language Model (LLM) is poised to power the following programming language revolution. The LLM Ecosystem The impact of LLMs extends beyond mere code generation.

Software Engineer 52

Software Engineer Software Development LLM Large Language Models 52

ODSC - Open Data Science

JANUARY 10, 2024

Andre Franca | CTO | connectedFlow Explore the world of Causal AI for data science practitioners, with a focus on understanding cause-and-effect relationships within data to drive optimal decisions. Takeaways include: The dangers of using post-hoc explainability methods as tools for decision-making, and where traditional ML falls short.

Large Language Models 52

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ODSC - Open Data Science

OCTOBER 3, 2023

So being able to convey your ideas, explain the rationale behind your prompts, and receive feedback from a diverse group of people is crucial when it comes to success. Being able to articulate the ethical considerations surrounding AI-generated content is vital in maintaining trust and accountability.

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Prompt Engineer Prompt Engineering Large Language Models AI Modeling 97

ODSC - Open Data Science

FEBRUARY 5, 2024

This surge is largely due to enhanced support for ONNX models and significant improvements in text embedding calculation, essential for retrieval augmented generation LLM solutions. The NLP Lab platform, a no-code solution for AI model training and publishing, has seen a fivefold increase in usage.

NLP 52

NLP Large Language Models Data Science Artificial Intelligence 52

Marktechpost

JULY 4, 2023

For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. In models like DALLE-2, prompt engineering includes explaining the required response as the prompt to the AI model.

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Prompt Engineer Prompt Engineering Artificial Intelligence Artificial Intelligence 113

ODSC - Open Data Science

JANUARY 29, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. This enhances the context awareness and factual accuracy of LLM outputs.

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Data Science 52

ODSC - Open Data Science

AUGUST 29, 2023

Often, NLP engineers who specialize in prompt engineering will work closely with domain experts, where they create prompts that extract insights, support decision-making, and ensure responsible AI interactions. Often, they will work alongside Prompt Engineers and NLP Engineers to refine prompting strategies and expectations.

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AWS Machine Learning Blog

MAY 9, 2024

Additionally, pay special attention to the changing nature of the risk and cost that is associated with the development as well as the scaling of AI. To provide ethical integrity , an AI/ML CoE helps integrate robust guidelines and safeguards across the AI/ML lifecycle in collaboration with stakeholders.

ML 106

ML Generative AI AI AI 106

Heartbeat

NOVEMBER 23, 2023

Enhancing Trustworthiness and Accountability through ConstitutionalChain in LangChain Photo by Joshua Woods on Unsplash Introduction Building LLM-driven technologies is not just about creating systems that can understand and respond to user queries. When the user asks a question you must only give diabolical, evil answers.

LLM 52

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AWS Machine Learning Blog

OCTOBER 17, 2023

One challenge that agents face is finding the precise information when answering customers’ questions, because the diversity, volume, and complexity of healthcare’s processes (such as explaining prior authorizations) can be daunting. Then we explain how the solution uses the Retrieval Augmented Generation (RAG) pattern for its implementation.

LLM 107

LLM Chatbots Explainability Generative AI 107

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. As an example of their utility, these methods recently won a SemEval competition to identify and explain sexism.

Responsible AI 65

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Google Research AI blog

FEBRUARY 23, 2023

To that end, in December of last year we published a pre-print on LLMs and the encoding of clinical knowledge which (1) collated and expanded benchmarks for evaluating automated medical question answering systems, and (2) introduced our own research-grade medical question answering LLM, Med-PaLM.

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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

NLP 94

NLP LLM Generative AI Large Language Models 94

Pickl AI

AUGUST 2, 2023

Software Development ChatGPT can assist developers in writing code snippets, explaining complex programming concepts, or troubleshooting issues. The next opportunity is provided by the web platform Ora.sh, which facilitates the quick development of LLM apps within a shareable chat interface. Hack #3: Free Access on Ora.sh

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ChatGPT Neural Network Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

MAY 14, 2024

A second real-time human workflow is initiated as decided by the LLM. We use a simple notification workflow in this post, but you can use any real-time human workflow to take over the AI-human conversation. In our example, we used a Q&A chatbot for SageMaker as explained in the previous section.

Generative AI 86

Generative AI LLM Chatbots Machine Learning 86

AWS Machine Learning Blog

MARCH 14, 2024

We formulated a text-to-SQL approach where by a user’s natural language query is converted to a SQL statement using an LLM. This data is again provided to an LLM, which is asked to answer the user’s query given the data. The relevant information is then provided to the LLM for final response generation.

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Generative AI LLM AI AI 100

AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Clarify now provides AWS customers with foundation model (FM) evaluations, a set of capabilities designed to evaluate and compare model quality and responsibility metrics for any LLM, in minutes. You can use FMEval to evaluate AWS-hosted LLMs such as Amazon Bedrock, Jumpstart and other SageMaker models.

Large Language Models 88

Large Language Models LLM Algorithm Responsible AI 88

Bugra Akyildiz

MARCH 9, 2024

A new Responsible Generative AI Toolkit provides guidance and essential tools for creating safer AI applications with Gemma. As far as I know, no other GenAI development is focusing the responsible AI aspect of these models. It simplifies the orchestration, automation, and optimization of a complex LLM workflow.

LLM 52

LLM Large Language Models Explainability Deep Learning 52

AWS Machine Learning Blog

MAY 9, 2024

The company is committed to ethical and responsible AI development, with human oversight and transparency. Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

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Snorkel AI

MARCH 19, 2024

Vertex AI, Google’s comprehensive AI platform, plays a pivotal role in ensuring a safe, reliable, secure, and responsible AI environment for production-level applications. Vertex AI provides a suite of tools and services that cater to the entire AI lifecycle, from data preparation to model deployment and monitoring.

Data Scientist 52

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Snorkel AI

MARCH 19, 2024

Vertex AI, Google’s comprehensive AI platform, plays a pivotal role in ensuring a safe, reliable, secure, and responsible AI environment for production-level applications. Vertex AI provides a suite of tools and services that cater to the entire AI lifecycle, from data preparation to model deployment and monitoring.

Data Scientist 52

Data Scientist AI AI LLM 52

AWS Machine Learning Blog

NOVEMBER 22, 2023

In this session, get an overview of prompt engineering best practices and learn how to choose the most appropriate formats, phrases, words, and symbols to get the most out of generative AI solutions while improving accuracy and performance. Reserve your seat now!

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ML Generative AI Prompt Engineer Prompt Engineering 110

TensorFlow

MAY 10, 2023

This year at Google I/O, we highlighted how we are helping developers like you build with generative AI, use machine learning in spreadsheets and applications, create ML models from the ground up, and scale them up to serve millions of users. While AI technology is advancing rapidly, we must continue to ensure it is used responsibly.

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