October, 2023

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Fine-Tuning, Retraining, and Beyond: Advancing with Custom LLMs

Analytics Vidhya

Introduction I’m pretty sure most of you have already used ChatGPT. That’s great because you’ve taken your first step on a journey we’re about to embark on in this article! You see, when it comes to mastering any new technology, the first thing you do is use it. It’s like learning to swim by jumping […] The post Fine-Tuning, Retraining, and Beyond: Advancing with Custom LLMs appeared first on Analytics Vidhya.

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From Internet of Things to Internet of Everything: The Convergence of AI & 6G for Connected Intelligence

Unite.AI

Internet of Things (IoT) establishes a network for connecting physical objects, such as devices, machines, sensors, or any equipment with processing abilities that can connect to the Internet. It refers to a digitally connected universe built on smart devices like fitness trackers, home voice assistants, smart thermostats, etc. IoT market is growing rapidly.

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professionals

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Reflections on AI Engineer Summit 2023

Eugene Yan

The biggest deployment challenges, backward compatibility, multi-modality, and SF work ethic.

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Biden issues sweeping executive order on AI

Flipboard

President Biden issued a highly anticipated, sweeping executive order on artificial intelligence (AI) on Monday, focused on seizing on the emerging technology and managing its risks. The order includes several new actions, which focus on areas like safety, privacy, protecting workers, and protecting innovation.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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LLM Inference Performance Engineering: Best Practices

databricks

In this blog post, the MosaicML engineering team shares best practices for how to capitalize on popular open source large language models (LLMs).

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Build a RAG Pipeline With the LLama Index

Analytics Vidhya

Introduction One of the most popular applications of large language models (LLMs) is to answer questions about custom datasets. LLMs like ChatGPT and Bard are excellent communicators. They can answer almost anything that they have been trained on. This is also one of the biggest bottlenecks for LLMs. They can only answer the questions they […] The post Build a RAG Pipeline With the LLama Index appeared first on Analytics Vidhya.

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Midjourney vs Stable Diffusion: The Battle of AI Image Generators

Unite.AI

AI image-generation tools are improving rapidly. Every week, there is a new tool on the market. According to Global Market Insights , the AI image generator market will reach approximately $944 million by 2032, compared to $213.8 million in 2022, growing at a compound annual growth rate of 16.5%. These tools are capable of creating photo-realistic and creative images.

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Llemma: An Open Language Model For Mathematics

Eleuther.ai

ArXiv | Models | Data | Code | Blog | Sample Explorer Today we release Llemma: 7 billion and 34 billion parameter language models for mathematics. The Llemma models were initialized with Code Llama weights, then trained on the Proof-Pile II, a 55 billion token dataset of mathematical and scientific documents. The resulting models show improved mathematical capabilities, and can be adapted to various tasks through prompting or additional fine-tuning.

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White House drops an AI regulation bombshell: 10 new mandates that'll shake up the industry

Flipboard

Open AI, Google, Microsoft, and other prominent AI players must answer to the new AI legislation. The White House just announced a thunderous executive order tackling AI regulation.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Can Language Models Replace Programmers? Researchers from Princeton and the University of Chicago Introduce SWE-bench: An Evaluation Framework that Tests Machine Learning Models on Solving Real Issues from GitHub

Marktechpost

Evaluating the proficiency of language models in addressing real-world software engineering challenges is essential for their progress. Enter SWE-bench, an innovative evaluation framework that employs Python repositories’ GitHub issues and pull requests to gauge these models’ ability to tackle coding tasks and problem-solving. Surprisingly, the findings reveal that even the most advanced models can only handle straightforward issues.

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K-Means Clustering for Image Classification Using OpenCV

Machine Learning Mastery

In a previous tutorial, we have explored the use of the k-means clustering algorithm as an unsupervised machine learning technique that seeks to group similar data into distinct clusters, to uncover patterns in the data. We have, so far, seen how to apply the k-means clustering algorithm to a simple two-dimensional dataset containing distinct clusters, […] The post K-Means Clustering for Image Classification Using OpenCV appeared first on MachineLearningMastery.com.

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Top 10 Tableau Projects for Data Science

Analytics Vidhya

Introduction The world of data science has numerous candidates with technical expertise, but only a few excel at problem-solving. When it is about communicating and expressing these skills effectively, some people are great at it naturally, while others develop this ability over time. Fortunately, with the advent of tools such as Tableau, you get access […] The post Top 10 Tableau Projects for Data Science appeared first on Analytics Vidhya.

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The Urgent Need for GenAI Skills in Project Management

Unite.AI

Getting ahead of challenges, navigating disruption, and minimizing risks—they are all integral to today’s conversations about the future of generative AI (GenAI). They are also integral to the role that project management professionals have been performing for decades. Despite their daily familiarity with these issues, many project professionals may find themselves unprepared for how their organizations will leverage GenAI or how it will affect their jobs specifically.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service provided by AWS that offers developers access to foundation models (FMs) and the tools to customize them for specific applications. It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. You can choose from various FMs from Amazon and leading AI startups such as AI21 Labs, Anthropic, Cohere, and Stability AI to find the model that’s best suited for your use case.

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Sweeping new Biden order aims to alter the AI landscape

Flipboard

The White House is poised to make an all-hands effort to impose national rules on a fast-moving technology, according to a draft executive order President Joe Biden will deploy numerous federal agencies to monitor the risks of artificial intelligence and develop new uses for the technology while …

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A New AI Study from MIT Shows How Deep Neural Networks Don’t See the World the Way We Do

Marktechpost

In the pursuit of replicating the complex workings of the human sensory systems, researchers in neuroscience and artificial intelligence face a persistent challenge: the disparity in invariances between computational models and human perception. As highlighted in recent studies, including one conducted by a team of scientists, artificial neural networks designed to mimic the various functions of the human visual and auditory systems often exhibit invariances that do not align with those found in

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NVIDIA Expands Robotics Platform to Meet the Rise of Generative AI

NVIDIA

Powerful generative AI models and cloud-native APIs and microservices are coming to the edge. Generative AI is bringing the power of transformer models and large language models to virtually every industry. That reach now includes areas that touch edge, robotics and logistics systems: defect detection, real-time asset tracking, autonomous planning and navigation, human-robot interactions and more.

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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A Step-by-Step Guide to PDF Chatbots with Langchain and Ollama

Analytics Vidhya

Introduction In an era where technology continues to transform the way we interact with information, the concept of a PDF chatbot brings a new level of convenience and efficiency to the table. This article delves into the intriguing realm of creating a PDF chatbot using Langchain and Ollama, where open-source models become accessible with minimal […] The post A Step-by-Step Guide to PDF Chatbots with Langchain and Ollama appeared first on Analytics Vidhya.

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Neural Networks Achieve Human-Like Language Generalization

Unite.AI

In the ever-evolving world of artificial intelligence (AI), scientists have recently heralded a significant milestone. They've crafted a neural network that exhibits a human-like proficiency in language generalization. This groundbreaking development is not just a step, but a giant leap towards bridging the gap between human cognition and AI capabilities.

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Why LLaVa-1.5 is a Great Victory for Open-Source AI

Towards AI

Last Updated on October 21, 2023 by Editorial Team Author(s): Ignacio de Gregorio Originally published on Towards AI. The War Goes Multimodal Photo by svklimkin on Unsplash I’ve talked about the AI war between open-source and private models many times, but the outcome seems to be the same. Open-source seems great and full of promises, but is often a whole lot of wishful thinking and impracticality.

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The Mega Trends That Will Shape Our Future World

Flipboard

Picture this: The year is 2040. You’ve just disembarked from a hypersonic flight from New York to London, a mere two-hour journey, and then take an air urban mobility “drone” to beat London’s rush hour traffic to be home in 20 minutes.

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Brick & Mortar Retail Relevance: How to Stay Ahead of the Curve

Speaker: Jay Black, Senior Account Executive

Let's set the record straight: in-store retail isn't dead - it's evolving! Faced with the digital age and the demands of omnichannel shopping, some retailers are thriving while others are struggling to adapt. Join Jay Black in this exclusive session as he explores the strategies that set successful stores apart, including: Crafting unique and unforgettable in-store experiences 🛍️ Mastering the art of retail demands 🛒 Navigating inventory challenges in today's climate 📦 an

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Meta AI Researchers Introduce RA-DIT: A New Artificial Intelligence Approach to Retrofitting Language Models with Enhanced Retrieval Capabilities for Knowledge-Intensive Tasks

Marktechpost

In addressing the limitations of large language models (LLMs) when capturing less common knowledge and the high computational costs of extensive pre-training, Researchers from Meta introduce Retrieval-Augmented Dual Instruction Tuning (RA-DIT). RA-DIT is a lightweight fine-tuning methodology designed to equip any LLM with efficient retrieval capabilities.

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New Portable Water Treatment System Vaporizes 99% of ‘Forever Chemicals’

Extreme Tech

Aquagga’s ‘PFAS Destruction Unit’ fits within a small freight container and uses common ingredients to dismantle persistent toxic chemicals.

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Exploring the Advanced Multi-Modal Generative AI

Analytics Vidhya

Introduction In today’s ever-advancing world of technology, there’s an exciting development on the horizon – Advanced Multi-modal Generative AI. This cutting-edge technology is about making computers more innovative and great, creating content and understanding. Imagine a digital assistant that seamlessly works with text, images, and sounds and generates information.

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AI in DevOps: Streamlining Software Deployment and Operations

Unite.AI

Like a well-oiled machine, your organization is on the brink of a significant software deployment. You've invested heavily in cutting-edge AI solutions, your digital transformation strategy is set, and your sights are firmly fixed on the future. Yet, the question looms – can you truly harness the power of AI to streamline your software deployment and operations?

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Striking Performance: Large Language Models up to 4x Faster on RTX With TensorRT-LLM for Windows

NVIDIA

Generative AI is one of the most important trends in the history of personal computing, bringing advancements to gaming, creativity, video, productivity, development and more. And GeForce RTX and NVIDIA RTX GPUs, which are packed with dedicated AI processors called Tensor Cores, are bringing the power of generative AI natively to more than 100 million Windows PCs and workstations.

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Health providers say AI chatbots could improve care. But research says some are perpetuating racism

Flipboard

SAN FRANCISCO (AP) — As hospitals and health care systems turn to artificial intelligence to help summarize doctors’ notes and analyze health records, a new study led by Stanford School of Medicine researchers cautions that popular chatbots are perpetuating racist, debunked medical ideas, prompting …

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Google DeepMind Researchers Introduce Promptbreeder: A Self-Referential and Self-Improving AI System that can Automatically Evolve Effective Domain-Specific Prompts in a Given Domain

Marktechpost

Large Language Models (LLMs) have gained a lot of attention for their human-imitating properties. These models are capable of answering questions, generating content, summarizing long textual paragraphs, and whatnot. Prompts are essential for improving the performance of LLMs like GPT-3.5 and GPT-4. The way that prompts are created can have a big impact on an LLM’s abilities in a variety of areas, including reasoning, multimodal processing, tool use, and more.