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Artificial Intelligence

From discussing the latest in machine learning algorithms to sharing insights on neural networks and natural language processing, this section is your gateway to the realm of AI.

  • 32 Topics
  • 10 Replies
32 Topics
jrgosalvez
jrgosalvezCommunity Manager
published in Artificial Intelligence
To GPT4o or Not to GPT4o?LLM

OpenAI released GPT-4o a conversational chat-bot last week.It is integrated into the online chat-bot as well as an API for integration with 3rd party systems. Early findings illustrate it is twice as fast and half the cost, with higher rate limits for better performance. https://vimeo.com/945586717 The multi-group query decoder architecture performs well based on zero-shot prompts, which are plain prompts that do not provide context in the prompt to help the LLM improve its response.  The API leverages the existing OpenAI chat completion API, which requires an API key to load and interact with the model. Many additional parameters, such as temperature, can be tuned.  from openai import OpenAIOPENAI_API_KEY = "<your-api-key>"client = OpenAI(api_key=OPENAI_API_KEY)response = client.chat.completions.create(  model="gpt-4o-2024-05-13",  messages=[    {"role": "system", "content": "You are a helpful assistant."},    {"role": "user", "content": "Who won the world series in 2020?"},    

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jrgosalvez
5 months ago
A
Explorer
Anbu VExplorer
posted in Artificial Intelligence
LLM As a Judge

 The rapid evolution of Large Language Models (LLMs) has ushered in a new era of AI-powered chat assistants, leveraging techniques like supervised instruction fine-tuning and reinforcement learning with human feedback (RLHF) to enhance their instruction-following and conversational abilities. These advancements have led to models that are increasingly aligned with human preferences, often outperforming their unaligned predecessors in user satisfaction. However, this progress has brought forth a significant challenge: how to effectively evaluate these sophisticated models. Traditional benchmarks, which typically focus on core capabilities such as knowledge retrieval and problem-solving, fall short in assessing how well these models align with human preferences in real-world applications. We've observed instances where models excel in benchmark tests yet underperform in practical scenarios that demand alignment with human expectations.While human ratings remain the gold standard for eval

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jrgosalvez
19 hours ago
A
alexander.klugCommunity Manager
published in Artificial Intelligence
📅 GenAI Productionize 2.0 on October 29th

The premier conference for GenAI application development returns on October 29th! Join us at GenAI Productionize 2.0 for an incredible lineup of speakers from HP, Galileo, Databricks, Twilio, Walmart and more.This industry-first summit is all about productionizing generative AI in the enterprise. Gain insights from top AI experts across research labs, startups, and global brands on governance, operational frameworks, and practical evaluation techniques.Don’t miss out—register now: GenAI Productionize 2.0 Registration

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A
1 month ago
jrgosalvez
jrgosalvezCommunity Manager
posted in Artificial Intelligence
GPUs in the Himalayas

 A recent video post by Akash James of SparkCognition shows how he was able to get the GPU he needed to work on his multi-modal LLM called VERsatile ONline Intelligent Cognitive Agent (VERONICA) by accessing compute he owned in India from the Himalayas. Join the Z by HP Boost webinar Oct 4th @ 9 am PST to hear how Akash is accessing his GPU remotely to create AI.  

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suamusa
Explorer
1 month ago
janetteguzman
janetteguzmanCommunity Manager
posted in Artificial Intelligence
AI Innovations to Watch for from HP Imagine – Get Ready

With the wrap-up of HP Imagine yesterday, AI and remote work took center stage in every new product announcement. One key highlight was the introduction of Z by HP Boost, a solution that enables teams to share on-demand GPU power from their combined fleet of local workstations. Additionally, HP is expanding AI Studio with the launch of the Z by HP Gen AI Lab, strengthening LLM development with a “built-in layer of trust” by protecting against hallucinations and bias.HP also announced several exciting AI-powered PC, audio, and visual products, including the new HyperX Cloud MIX™ 2 headset, Poly Labs, and the HP OmniBook Ultra Flip 2-in-1 Laptop Next Gen AI PC, to name a few that will elevate both work and play experiences.🎉 Overall, these are exciting strides in AI for HP, coming in November 2024 and the first quarter of 2025.Check out the full press release here: HP Transforms the Future of Work | HP® Official Site

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Sothan
1 month ago
ptr.n
Starter
ptr.nStarter
published in Artificial Intelligence
OpenAI Release o1: Its First Model with Advanced Reasoning Capabilities

OpenAI has announced the release of its latest AI model, codenamed Strawberry, now officially named OpenAI o1. This new model is designed to improve how AI handles complex tasks in math, science, and coding by evaluating its steps before providing a response.Key Updates: Advanced Reasoning: Unlike previous models, OpenAI o1 takes more time to think through problems, emulating a more human-like reasoning process. This approach helps the model better handle difficult questions and adhere more closely to safety guidelines. New Naming and Features: OpenAI o1 introduces a new naming system and will be available alongside existing models like GPT-4o. There’s also a lightweight variant, o1-mini, focused on code generation. Rolling Out Access: The new model is being introduced in phases. Starting today, ChatGPT Plus and Team users will get limited access to both o1-preview and o1-mini, with educational and enterprise users gaining access next week. Current Limitations: While promising, O

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ptr.n
Starter
2 months ago
miracFence
Explorer
miracFenceExplorer
posted in Artificial Intelligence
Medical LLMs

Hello everyone!I just created a blog post about exploring current Medical LLMs. If you are interested about AI in Healthcare and GenAI, and would like to learn how to create demos with Python and Gradio, I invite you to read it! https://medium.com/@miracfence/exploring-fine-tuned-medical-llms-cbb42dd4911f

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miracFence
Explorer
2 months ago
Sothan
SothanCommunity Manager
posted in Artificial Intelligence
Gartner Forecasts 40% of Generative AI Solutions Will Embrace Multimodal Capabilities by 2027

 According to Gartner, by 2027, 40% of generative AI (GenAI) solutions will feature multimodal capabilities—encompassing text, images, audio, and video—up from just 1% in 2023. This transition from single-modal to multimodal models promises to improve human-AI interactions and create unique opportunities for differentiated GenAI-powered products and services.The Rise of Multimodal GenAIMultimodal Generative AI is set to revolutionize enterprise applications by introducing innovative features and capabilities previously unattainable. Its influence spans across various industries and applications, enhancing interactions at every point where AI meets human engagement. Currently, many multimodal models incorporate only two or three modalities, but this is expected to expand significantly in the coming years.Open-Source LLMsOpen-source large language models (LLMs) are transforming enterprise value by democratizing access to advanced generative AI. They enable businesses to tailor models for

370
Sothan
2 months ago
miracFence
Explorer
miracFenceExplorer
posted in Artificial Intelligence
AI in the Film Industry

As it is already well-known, for the last couple of years companies have been using AI in films in order to optimize multiple processes, from computer graphics, to animation, etc. Today, however, we can see it being hugely involved in the process, even in the whole automation of creating a film. For some artists, this may be a huge concern, for others it MAY be an opportunity to explore their creativity. In posts and programs like this https://runwayml.com/news/runway-partners-with-tribeca-festival we can see the potential in GenAI applications in the film industry, as long as the latest research https://runwayml.com/research/introducing-gen-3-alpha  What do you think that are the actual limits of this? Do you think it will eventually ceil and just become one more tool for humans to explore their own creativity? Or, do you think it will become something like that one Black Mirror’s episode “Joan is Awful” where content is being automatically generated without any restrictions, just for

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miracFence
Explorer
2 months ago
Sothan
SothanCommunity Manager
posted in Artificial Intelligence
Google Unveils 'GameNGen': AI-Powered Game Engine Recreates Doom in Real Time

Google researchers have unveiled GameNGen, a groundbreaking game engine entirely driven by AI that can simulate intricate video games in real-time. This innovative technology was showcased by recreating the iconic first-person shooter, Doom.GameNGen employs a neural network to generate game frames at more than 20 frames per second, creating visuals that closely mirror the original game. The AI model underwent a two-phase training process: initially, an AI agent was taught to play Doom, followed by training a separate model to predict the next frame based on previous actions and frames.“We introduce GameNGen, the first game engine entirely powered by a neural network, capable of real-time interaction within a complex environment over extended periods and at high quality,” the researchers detailed in their paper.This technology holds the potential to revolutionize game development by enabling the creation and modification of games through text descriptions or example images, moving away

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Sothan
2 months ago
Sothan
SothanCommunity Manager
published in Artificial Intelligence
NVIDIA's New AI Model Techniques Slash Costs and Enhance Accuracy with Pruning and Distillation

NVIDIA's research team has introduced an innovative approach to developing smaller, yet highly accurate language models by leveraging structured weight pruning and knowledge distillation. These techniques are designed to streamline the model without compromising its performance, offering several key benefits for developers and organizations focused on AI development.Key Benefits and Innovations: Performance Improvement: The refined models achieve a 16% improvement in MMLU (Massively Multilingual Language Understanding) scores. MMLU is a benchmark used to evaluate a model's understanding and processing of multilingual content, making this improvement significant for applications that require high linguistic accuracy across different languages. Training Efficiency: The method reduces the number of tokens required to train new models by a factor of 40. Tokens are the building blocks of language models, and reducing their number drastically cuts down on computational resources and time n

630
Sothan
2 months ago
jrgosalvez
jrgosalvezCommunity Manager
posted in Artificial Intelligence
Veronica LLaVA-Llama3 Multi-modal LLM Senses and Communicates Surroundings

HP Data Science Ambassador Akash James uses a zero-shot approach to create Veronica to be aware of her spatial surroundings through visual, audio, and text interactions to describe what she sees. Check out his LinkedIn post to see a demo of how it works…  

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jrgosalvez
2 months ago
Sothan
SothanCommunity Manager
posted in Artificial Intelligence
OpenAI brings fine-tuning to GPT-4o with one million training tokens through September 23rd

OpenAI announced the launch of fine-tuning for GPT-4o, addressing one of the most frequently requested features from developers. This new capability allows developers to fine-tune the GPT-4o model with custom datasets, enhancing performance while reducing costs for specific applications.To support the rollout, OpenAI is offering 1 million free training tokens per day for every organization through September 23. This incentive is designed to help developers explore fine-tuning without immediate cost concerns.Developers can begin fine-tuning by visiting the fine-tuning dashboard. The process involves:Accessing the dashboard. Clicking "Create" to start a new project. Selecting gpt-4o-2024-08-06 from the base model options.GPT-4o Mini Also AvailableOpenAI also offers GPT-4o Mini for fine-tuning. This smaller model is available with 2 million free training tokens per day until September 23. To use it, developers should select gpt-4o-mini-2024-07-18 on the fine-tuning dashboard.Data Privacy

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Sothan
2 months ago
Sothan
SothanCommunity Manager
published in Artificial Intelligence
🎥 Building Trustworthy Gen AI Solutions with Sensitive Data

At the recent AI Summit conference in London, Alex Klug, Product Sr. Manager of Data Science & AI Solutions at HP, and Yash Sheth, COO & Co-founder of Galileo, discussed the challenges of creating trustworthy generative AI systems, particularly when handling sensitive data. They highlighted the widespread use of generative AI (Gen AI) and the significant issue of "hallucinations," where AI systems produce inaccurate or misleading information. This problem is increasingly concerning for businesses due to potential liability and the need for accuracy in AI applications.The discussion emphasized the need to rethink the entire development lifecycle to address these challenges, from model selection and procurement to experimentation, deployment, and monitoring. Solutions must ensure that sensitive data is managed securely and reliably while addressing problems such as hallucinations and model drift.HP’s AI Studio offers secure, local environments for the development and deployment o

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Sothan
3 months ago
S
Explorer
Sarita NavuluruExplorer
published in Artificial Intelligence
Galileo's Hallucination Index: Unveiling the Top Performers in Language Models for 2024

2024Galileo's Hallucination Index report is a critical resource for AI developers, offering detailed insights into the performance and cost-effectiveness of various large language models (LLMs). This enables developers to make informed decisions to enhance the reliability and accuracy of GenAI applications. The report highlights the current landscape of LLMs and sets the stage for future advancements.Key FindingsModels Evaluated: The report covers 22 models, including 10 closed-source and 12 open-source models from providers like OpenAI, Anthropic, Meta, Google, and Mistral. Models were assessed based on context length capabilities and source type.Major TrendsOpen Source Improvement: Open-source models are rapidly closing the performance gap with closed-source models. Model Size: Smaller models sometimes outperform larger ones, challenging the belief that bigger is always better. Context Length Performance: Many models maintain high performance even with extended context lengths. Anthr

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S
Explorer
3 months ago
Sothan
SothanCommunity Manager
published in Artificial Intelligence
Preliminary Results: Exploring AI Creation and Model Hub Preferences

We’re excited to bring together Data Scientists and IT Decision Makers (ITDMs) to explore the landscape of model hubs and compute systems. Our focus is on understanding the preferred model hubs that Data Scientists use for accessing pretrained models, as well as the compute systems they rely on for AI development and creation. As our research progresses, we’re eager to share some preliminary insights with you. Here’s an update on our early findings:Model Hubs (DS only)Data scientists most commonly use platforms such as Microsoft AI GitHub, Google Model Garden, AWS Model Zoo, and PyTorch Hub. Hugging Face 25% Tensorflow Hub 19% Pytorch Hub 31% Microsoft AI GitHub 38% Model Zoo by OpenAI 6% ONNX Model Zoo 6% NVIDIA NGC 6% Google Model Garden 38% AWS Model Zoo 31% TorchVision Model Zoo 13% Qualcom AI Hub 6% Model Zoo for Int

230
Sothan
3 months ago
janetteguzman
janetteguzmanCommunity Manager
asked in Artificial Intelligence
AI In Design: What Lessons Can We Learn From Figma AI's Slip?

At last month's Figma annual conference, Config, several new features were unveiled, including Figma AI. Designers like me have been eagerly awaiting updates from the collaborative design tool giant, especially after their deal with Adobe fell through. The question now is: how will Figma lead the way for creatives to design with AI as a supportive tool? How will it be different from what we’ve seen from existing tools?The new features are impressive. They include a text translation feature to visualize product designs in different languages and Figma Slides, a natural business and feature decision for Figma as designers are already presenting in Figma or creating slide decks rather than migrating to Google Slides or PowerPoint, as can be seen from the Figma Community templates available. Additionally, a redesign of Dev Mode allows developers to focus on details like new published updates.The most significant feature is Figma AI, where users can click a button to "Make a design," enter

811
Sothan
4 months ago
Sothan
SothanCommunity Manager
published in Artificial Intelligence
AI Appreciation Day: How Has AI Shaped Your Daily Life?

July 16th is designated as Artificial Intelligence Appreciation Day, a time to recognized the rapid evolution and significant advancements in AI technology. This day encourages reflection on AI's transformative impact on our world, its historical journey, and its influence across various aspects of our lives.This year, we're inviting you to take part in a short survey to share your experiences of how AI has impacted your daily life. The results will be shared with you by the end of the month.Survey link  

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jrgosalvez
4 months ago
Sothan
SothanCommunity Manager
posted in Artificial Intelligence
2024 Artificial Intelligence Index Report - Top Ten Takeaways

 The Stanford Institute for Human-Centered Artificial Intelligence (HAI) has recently released the 2024 Artificial Intelligence Index Report, a comprehensive 500+ page analysis detailing the global AI landscape. It covers national strategies, global usage, publications, patents, funding, technical advancements, public perceptions, projected economic impact, jobs, and education. 2024 Artificial Intelligence Index Report - Top Ten Takeaways AI beats humans on some tasks, but not on all. AI has surpassed human performance on several benchmarks, including some in image classification, visual reasoning, and English understanding. Yet, it trails behind on more complex tasks like competition-level mathematics, visual commonsense reasoning, and planning. Industry continues to dominate frontier AI research. In 2023, the industry produced 51 notable machine learning models, while academia contributed only 15. There were also 21 notable models resulting from industry-academia collaborations in 20

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Sothan
4 months ago
suamusa
Explorer
suamusaExplorer
posted in Artificial Intelligence
AI Appreciation Day – July 16, 2024 

Artificial Intelligence Appreciation Day – July 16, 2024  Artificial Intelligence Appreciation Day – July 16, 2024

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jrgosalvez
5 months ago
jrgosalvez
jrgosalvezCommunity Manager
posted in Artificial Intelligence
AI Summit London packed with AI buzz and ideation. Check out the 2 min video.

 

111
Sothan
5 months ago
leah.roybal
Explorer
leah.roybalExplorer
published in Artificial Intelligence
xAI Raises $6B for Grok LLMLLM

Grok-1.5 and Grok-1.5 Vision Pro are Elon Musk’s LLMs. In less than a year, the Grok team have developed, demonstrated, and released strong LLM open source models that aim to avoid censorship. With speed and performance, the team has secured a significant Series B funding round. Grok-1.5 (announced March 28, 2024) uses multi query attention with long context capability. It is not yet available outside of early testers, but Grok-1 (released March 17, 2024) is open source, and available for commercial use like Llama, but it’s a 314B 8-bit quantized pre-trained model trained on X data from scratch that can augment responses with X data. Grok-1 performs well on logic tasks, where other models can struggle.  Grok-1.5v (announced April 12, 2024) is a multi-modal model that can process visual information to reason and interpret actions because it understands images. In comparing zero-shot without chain-of-thought prompting Grok-1.5v performed well compared to other pre-trained models. AI crea

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jrgosalvez
5 months ago
janetteguzman
janetteguzmanCommunity Manager
posted in Artificial Intelligence
Non-Tech SMBs - How Can They Get Started Bringing AI Solutions to the Workplace?

AI has entered the chat and is here to stay. Small to medium businesses that are not technology focused everywhere are becoming more aware that AI solutions are available and can unlock the power to streamline and automate some of their workforce’s everyday workflows.  In my previous experience, we had SMB clients from various industries like medical, industrial and manufacturing, and home builders, to name a few that voiced they did not want to get left behind but, really didn’t know where to begin when it came to implementing AI and LLMs into their work. It’s unfamiliar and mysterious, but it tends to freeze them.  Where do they start?For these small businesses that don’t have a Data Scientist or technical expert already on staff to lead the way, how can they start? Any advice, resources, or stories to share? I’d really like to start a discussion from the people in action on what you’ve recommended to businesses looking to adapt. 

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janetteguzman
6 months ago
janetteguzman
janetteguzmanCommunity Manager
posted in Artificial Intelligence
Comparing Commercial, Gated, and Open-Source LLMs in your Q & A Chatbots

I recently saw that a Z by HP ambassador, Ekaterina Butyugina, explored building an app with a chatbot feature that was powered by 3 different LLMs, ChatGPT, Mistral, and Gemma to answer Q & As based on the text file uploads users add using the Streamlit app (an open-source Python framework). When running, Gemma generated responses in approx. 3 seconds.  For others building similar Q & A chatbots leveraging different LLMs…Were times and results drastically different among your various integrated LLMs? What were your times and findings?Curious to hear! Linking Ekaterina’s Medium article with step-by-step instructions here:Commercial, Gated, and Open-Source LLMs in Your File QA Chatbot

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janetteguzman
6 months ago
leah.roybal
Explorer
leah.roybalExplorer
posted in Artificial Intelligence
How is AI Enhancing the Retail Experience?

AI is making significant strides in retail, improving everything from inventory management to customer interaction. How are you leveraging AI in your retail projects? What improvements or challenges have you noticed? I’d love to hear others thoughts around the real-world effects of AI on our retail operations!

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leah.roybal
Explorer
6 months ago
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