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Introduction Training and fine-tuning language models can be complex, especially when aiming for efficiency and effectiveness. One effective approach involves using parameter-efficient fine-tuning techniques like low-rank adaptation (LoRA) combined with instruction fine-tuning. This article outlines the key steps and considerations to fine-tune LlaMa 2 large language model using this methodology.
TechForge recently caught up with Gil Pekelman, CEO of all-in-one IT management platform, Atera, to discuss how AI is becoming the IT professionals’ number one companion. Can you tell us a little bit about Atera and what it does? We launched the Atera all-in-one platform for IT management in 2016, so quite a few years ago. And it’s very broad.
Introduction The rapid expansion of the Generative AI model capabilities enables us to develop many businesses around GenAI. Today’s model not only generates text data but also, with the powerful multi-modal model like GPT-4, Gemini can leverage image data to generate information. This capability has huge potential in the business world such as you can […] The post Building a Product Discovery API with Gemini Vision Pro, LlamaIndex & FastAPI appeared first on Analytics Vidhya.
OpenAI has made significant strides in advancing artificial intelligence technologies, with its most recent achievement being the GPT-4o system that powers the popular ChatGPT chatbot. Today, OpenAI announced the establishment of a new safety committee, the OpenAI Safety Council, and revealed that it has begun training a new AI model. Who is in OpenAI's Safety Council?
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
In our recent Leading with Data session, we were thrilled to welcome Aamod Sathe, a data science and analytics leader with nearly two decades of experience. Aamod currently leads the analytics team for MetaWorks under Reality Labs at Meta, where he is helping to build the metaverse and the future of work. With a strong […] The post Tech Titan Aamod Sathe on AI, Startups, and the Future of Data appeared first on Analytics Vidhya.
With the explosion of audio and video content available online, it is hard to ensure this content does not include swear words and other profanity. With profanity detection AI models, developers can automatically filter out offensive language at scale. In this tutorial, you’ll learn how to use Node.js to filter profanity from audio files. By the end of this guide, you'll be equipped to implement this functionality in just a few lines of code, enhancing both user experience and conten
With the explosion of audio and video content available online, it is hard to ensure this content does not include swear words and other profanity. With profanity detection AI models, developers can automatically filter out offensive language at scale. In this tutorial, you’ll learn how to use Node.js to filter profanity from audio files. By the end of this guide, you'll be equipped to implement this functionality in just a few lines of code, enhancing both user experience and conten
Introduction Canva, a leader in digital content creation, recently held its annual Canva Create 2024 event in Los Angeles. At the event, the company unveiled a suite of innovative features and tools designed to enhance productivity and collaboration across various teams. These updates are set to revolutionize how organizations create and manage visual content.
Artificial intelligence, like any software, relies on two fundamental components: the AI programs, often referred to as models, and the computational hardware, or chips, that drive these programs. So far, the focus in AI development has been on refining the models, while the hardware was typically seen as a standard component provided by third-party suppliers.
In the rapidly developing fields of data science and Artificial Intelligence (AI), the search for increasingly effective systems is also increasing significantly. The development of Agentic Retrieval-Augmented Generation (RAG) is among the most revolutionary developments of recent times. This strategy is set to completely transform the way information is used and managed, offering a substantial improvement over current RAG systems.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
Sequence modeling is a critical domain in machine learning, encompassing applications such as reinforcement learning, time series forecasting, and event prediction. These models are designed to handle data where the order of inputs is significant, making them essential for tasks like robotics, financial forecasting, and medical diagnoses. Traditionally, Recurrent Neural Networks (RNNs) have been used for their ability to process sequential data efficiently despite their limitations in parallel p
The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
Large Language Models (LLMs) have advanced rapidly, especially in Natural Language Processing (NLP) and Natural Language Understanding (NLU). These models excel in text generation, summarization, translation, and question answering. With these capabilities, researchers are keen to explore their potential in tasks that require reasoning and planning.
Here’s a big announcement folks! Artificial Lawyer is launching a new legal tech directory in partnership with Theorem. The directory, which is hosted and managed.
Causal models are crucial for explaining the causal relationships among variables. These models help to understand how various factors interact and influence each other in complex systems. However, it is challenging to find the probabilities related to interventions and conditioning at the same time. Moreover, AI research has focused on two types of models: functional causal models and causal Bayesian networks (CBN).
In our first episode of the week, join Mike Kaput and Paul Roetzer as they explore Microsoft's new AI-infused PCs, Copilot AI agents, and Team Copilot. Our two hosts also look into the controversy surrounding GPT-4o's Sky voice and its alleged similarity to Scarlett Johansson, and discuss Sundar Pichai's thoughts on AI's influence on search traffic and the accuracy of Google's AI Overviews.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Federated learning enables collaborative model training by aggregating gradients from multiple clients, thus preserving their private data. However, gradient inversion attacks can compromise this privacy by reconstructing the original data from the shared gradients. While effective on image data, these attacks need help with text due to their discrete nature, leading to only approximate recovery of small batches and short sequences.
Juralio, the legal matter mapping and budgeting platform, has formed a partnership with Guirbaden, an advisory outfit created by Eric Eck, who was previously with.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Machine learning research aims to learn representations that enable effective downstream task performance. A growing subfield seeks to interpret these representations’ roles in model behaviors or modify them to enhance alignment, interpretability, or generalization. Similarly, neuroscience examines neural representations and their behavioral correlations.
NVIDIA has recently introduced NV-Embed on Hugging Face , a revolutionary embedding model poised to redefine the landscape of NLP. This model, characterized by its impressive versatility and performance, has taken the top spot across multiple tasks in the Massive Text Embedding Benchmark (MTEB). Licensed under cc-by-nc-4.0 and built on a large language model (LLM) architecture, NV-Embed showcases various architectural designs and training procedures that significantly enhance its performance as
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
The Generative Pre-trained Transformer (GPT) series, developed by OpenAI, has revolutionized the field of NLP with its groundbreaking advancements in language generation and understanding. From GPT-1 to GPT-4o and its subsequent iterations, each model has significantly improved architecture, training data, and performance. Let’s do a comprehensive technical overview of the GPT series, backed by key metrics and insights highlighting their transformative impact on AI.
OpenAI is facing serious backlash after allegations it used actress Scarlett Johansson's voice without permission for one of the updated voices in its new GPT-4o model.
Biomedical data is increasingly complex, high-dimensional, and heterogeneous, encompassing sources such as electronic health records (EHRs), imaging, -omics data, sensors, and text. Traditional data mining and statistical methods must improve with this complexity, often requiring extensive feature engineering and domain expertise to extract meaningful insights.
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