Analytics Vidhya

APRIL 10, 2024

Elon Musk has been making headlines again! During a recent interview on X Spaces (his platform for discussing all things space and beyond), the he dropped a prediction about Artificial General Intelligence (AGI). Musk claims AGI could be surpassing human intelligence within the next two years! Master of Making Bold Statements Musk has a history […] The post Elon Musk Predicts AI will be Smarter than Humans by Next Year appeared first on Analytics Vidhya.

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AI News

APRIL 10, 2024

OpenAI has announced that its powerful GPT-4 Turbo with Vision model is now generally available through the company’s API, opening up new opportunities for enterprises and developers to integrate advanced language and vision capabilities into their applications. The launch of GPT-4 Turbo with Vision on the API follows the initial release of GPT-4’s vision and audio upload features last September and the unveiling of the turbocharged GPT-4 Turbo model at OpenAI’s developer confe

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Analytics Vidhya

APRIL 10, 2024

Intel has unveiled its latest AI hardware, the Gaudi 3 chip, at the recent Vision event. The launch marks a significant move in Intel’s battle against Nvidia’s dominance in the semiconductor industry, especially in AI. This announcement comes amidst the increasing demand for AI chips, while tech giants are seeking alternatives to address the scarcity […] The post Intel Challenges Nvidia Dominance with New Gaudi 3 AI Chip appeared first on Analytics Vidhya.

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AssemblyAI

APRIL 10, 2024

LangChain is a framework for developing applications using Large Language Models (LLMs). LangChain provides common building blocks for building integrations with LLMs. However, LLMs only operate on textual data and don't understand audio data. With our recent contribution to LangChain Go , you can now integrate AssemblyAI's industry-leading speech-to-text models using the new document loader.

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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.

Unite.AI

APRIL 10, 2024

The role of artificial intelligence in enhancing customer loyalty is more critical than ever in today’s fiercely competitive business landscape. AI stands at the forefront of redefining how brands interact with customers. Integrating the technology into everyday processes has become a strategic imperative for companies seeking to build stronger, long-lasting relationships.

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Chatbots AI AI Natural Language Processing 246

IBM Journey to AI blog

APRIL 10, 2024

IDC estimates that 750 million cloud native will be built by 2025. Where and how these applications are deployed will impact time to market and value realization. The reality is that application landscapes are complex, and they challenge enterprises to maintain and modernize existing infrastructure, while delivering new cloud-native features. Three in four executives reported disparate systems in their organizations and that a lack of skills, resources and common operational practices challenge

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Analytics Vidhya

APRIL 10, 2024

Google has introduced significant upgrades to its Imagen 2 artificial intelligence (AI) model, enhancing its text-to-image capabilities. These enhancements were unveiled at the annual Google Cloud Next Conference, marking a notable advancement in AI-generated image creation. Let’s delve into the details of these upgrades and their implications.

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Marktechpost

APRIL 10, 2024

Language models often need more exposure to fruitful mistakes during training, hindering their ability to anticipate consequences beyond the next token. LMs must improve their capacity for complex decision-making, planning, and reasoning. Transformer-based models struggle with planning due to error snowballing and difficulty in lookahead tasks. While some efforts have integrated symbolic search algorithms to address these issues, they merely supplement language models during inference.

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Analytics Vidhya

APRIL 10, 2024

Introduction While OpenAI’s GPT-4 has made waves as a powerful large language model, its closed-source nature and usage limitations have left many developers seeking open-source alternatives. Fortunately, natural language processing (NLP) has seen a surge in powerful open-source models that match or exceed GPT-4’s capabilities in certain areas.

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Large Language Models Natural Language Processing NLP OpenAI 212

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.

LLM

Marktechpost

APRIL 10, 2024

Speech synthesis has greatly progressed in technological advancements, reflecting the human quest for machines that speak like us. As we stride into an era where interactions with digital assistants and conversational agents become commonplace, the demand for speech that echoes the naturalness and expressiveness of human communication has never been more critical.

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Analytics Vidhya

APRIL 10, 2024

Introduction Imagine a world where the creation of video content transcends current limitations, letting anybody create any type of visual content. This has been made possible by Higgsfield, a new artificial intelligence (AI) video generation platform. Crafted with a foundation similar to the one behind OpenAI’s notable Sora engine, Higgsfield is poised to redefine the […] The post Sora’s New Contender: Introducing Higgsfield’s Advanced Video AI appeared first on Analytic

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Marktechpost

APRIL 10, 2024

The abundance of web-scale textual data available has been a major factor in the development of generative language models, such as those pretrained as multi-purpose foundation models and tailored for particular Natural Language Processing (NLP) tasks. These models use enormous volumes of text to pick up complex linguistic structures and patterns, which they subsequently use for a variety of downstream tasks.

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Machine Learning Natural Language Processing Categorization NLP 124

Analytics Vidhya

APRIL 10, 2024

Feeling overwhelmed by lengthy documents? Drowning in textbooks or struggling to understand research papers? You’re not alone. That’s where text summarization tools come in. These AI-powered tools are designed to help you extract the key points from any text, saving you valuable time and effort. Imagine summarizing a dense textbook chapter into a clear, concise […] The post Top 8 Text Summarization Tools in 2024 appeared first on Analytics Vidhya.

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AI AI Generative AI Artificial Intelligence 143

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.

Marktechpost

APRIL 10, 2024

For too long, the world of natural language processing has been dominated by models that primarily cater to the English language. This inherent bias has left a significant portion of the global population feeling underrepresented and overlooked. However, a groundbreaking new development is set to challenge this status quo and usher in a more inclusive era of language models – the Chinese Tiny LLM (CT-LLM).

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LLM Natural Language Processing NLP ML 120

Towards AI

APRIL 10, 2024

Last Updated on April 11, 2024 by Editorial Team Author(s): ronilpatil Originally published on Towards AI. Image by Author Hi folks! Ready to take your model deployment game to the next level? Let’s dive into setting up an MLflow Server on an EC2 instance! I’ll explain the steps to configure Amazon S3 bucket to store the artifacts, Amazon RDS (Postgres & Mysql) to store metadata, and EC2 instance to host the mlflow server.

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Marktechpost

APRIL 10, 2024

Fine-tuning large language models (LLMs) enhances task performance and ensures adherence to instructions while modifying behaviors. However, this process incurs significant costs due to high GPU memory requirements, especially for large models like LLaMA 65B and GPT-3 175B. Consequently, various parameter-efficient fine-tuning (PEFT) methods, such as low-rank adaptation (LoRA), are proposed, which reduces parameters and memory usage without increasing inference latency.

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Towards AI

APRIL 10, 2024

Last Updated on April 11, 2024 by Editorial Team Author(s): GaryGeo Originally published on Towards AI. Today I am taking a slight detour from my usual data analysis, to indulge one of my favorite hobbies — crafting personalized greeting cards, now with a significant boost from Artificial Intelligence. My fascination with creating unique holiday, anniversary, and birthday cards for my family has evolved from handwritten notes to stylized photos to graphic designs.

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AI AI ChatGPT Artificial Intelligence 107

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Generative AI

Marktechpost

APRIL 10, 2024

Imagine an AI system that can recognize any object, comprehend any text, and generate realistic images without being explicitly trained on those concepts. This is the enticing promise of “zero-shot” capabilities in AI. But how close are we to realizing this vision? Major tech companies have released impressive multimodal AI models like CLIP for vision-language tasks and DALL-E for text-to-image generation.

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Data Scarcity AI AI ML 106

Towards AI

APRIL 10, 2024

Last Updated on April 11, 2024 by Editorial Team Author(s): Andy Spezzatti Originally published on Towards AI. Beyond Words: LLMs Enhance Data Analysis from Genomics to StrategySource: Image by Nicole Herero on Unsplash Over the past two years, Large Language Models (LLMs) including ChatGPT, Antropic, and Mistral have transformed our engagement with technology.

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Neural Network Large Language Models Data Analysis ChatGPT 107

SAS Software

APRIL 10, 2024

When I was recently introduced to pineberries, I thought they were an under-ripe strawberry, but boy, was I wrong! These blushing berries are surprisingly sweet with a hint of tropical tartness. What are Pineberries? Pineberries are a hybrid between Japanese white strawberries and standard Florida strawberries. These white strawberries with [.] The post Pineberries: Give these Blushing Beauties a Try appeared first on SAS Blogs.

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Towards AI

APRIL 10, 2024

Last Updated on April 11, 2024 by Editorial Team Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. I experimented with CodeGemma. Here are my results What codeGemma is supposed to be, according to Google — CodeGEMMA represents a significant advancement in the realm of code generation and completion, stemming from Google’s broader Gemma model family.

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Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Marktechpost

APRIL 10, 2024

Meta, the tech giant behind popular platforms such as Facebook and Instagram, is pushing the boundaries of artificial intelligence (AI) infrastructure by introducing the next generation of the Meta Training and Inference Accelerator (MTIA). This move marks a significant leap in Meta’s commitment to enhancing AI-driven experiences across its products and services.

AI 100

AI AI Software Development Deep Learning 100

Towards AI

APRIL 10, 2024

Last Updated on April 11, 2024 by Editorial Team Author(s): Louis-François Bouchard Originally published on Towards AI. Mixtral 8x7B explained Originally published on louisbouchard.ai, read it 2 days before on my blog! [link] What you know about is wrong. We are not using this technique because each model is an expert on a specific topic. In fact, each of these so-called experts is not an individual model but something much simpler.

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Explainability OpenAI AI AI 103

Marktechpost

APRIL 10, 2024

In AI, searching for machines capable of comprehending their environment with near-human accuracy has led to significant advancements in semantic segmentation. This field, integral to AI’s perception capabilities, includes allocating a semantic label to each pixel in an image, facilitating a detailed understanding of the scene. However, conventional segmentation techniques often falter under less-than-ideal conditions, such as poor lighting or obstructions, making pursuing more robust meth

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Robotics AI AI ML 100

Towards AI

APRIL 10, 2024

Last Updated on April 11, 2024 by Editorial Team Author(s): Boris Meinardus Originally published on Towards AI. How much machine learning really is in ML Engineering? It’s so confusing! There are so many different data- and machine-learning-related jobs. But what actually are the differences between a Data Engineer, Data Scientist, ML Engineer, Research Engineer, Research Scientist, or an Applied Scientist?!

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ML Engineer ML Explainability Machine Learning 100

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Marktechpost

APRIL 10, 2024

Large Language Models (LLMs) have become essential tools for various intelligent agent tasks such as web navigation. The notion of self-governing digital agents, particularly those powered by LLMs, has great potential to transform the relationship of humans with technology. These agents provide previously unthinkable possibilities by their exceptional cognition and response skills.

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Extreme Tech

APRIL 10, 2024

For the first time since November, we know why Voyager 1 has had a difficult time communicating.

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Artificial Lawyer

APRIL 10, 2024

Litera has launched a GenAI-driven KM tool that allows firms to tap prior work to find ‘relevant precedents, deal points, and what is market’ to boost a client’s negotiation position and support tr…

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Insight Engine 82