Generative AI Archives | Oxide AI https://oxide.ai/tag/generative-ai/ Quantified AI Decisions™ Tue, 10 Jun 2025 12:15:36 +0000 en-US hourly 1 https://wordpress.org/?v=6.7.1 https://oxide.ai/wp-content/uploads/2022/04/o_icon.svg Generative AI Archives | Oxide AI https://oxide.ai/tag/generative-ai/ 32 32 Finding Trustworthy Signals in a Sea of Financial Data https://oxide.ai/2025-06-10-finding-trustworthy-signals-in-a-sea-of-financial-data/ Tue, 10 Jun 2025 12:07:33 +0000 https://oxide.ai/?p=10823 Scaling domain-tuned AI without the cost of proprietary models.

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Finding Trustworthy Signals in a Sea of Financial Data

Scaling domain-tuned AI without the cost of proprietary models

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Proud moment for Oxide AI!


We’re super excited to be featured in Meta LLaMA’s latest case studies, which highlights our mission to bring transparency, openness and precision to AI in finance.

 

At Oxide AI, we believe that true innovation happens out in the open. That’s why we’ve used LLaMA —  no black boxes, no closed-source shortcuts. It’s the only way to build trust and promote human-AI collaboration where it makes most sense.

 

What this means in practice:

 

  • Open & Transparent: We build using openly available large language models.
  • Exact & Fine-Tuned: Precision isn’t optional. Our SLMs/LLMs are fine-tuned to specific domains. Combined with our computational AI, they deliver accurate, trustworthy insights.
  • Robust Signal Discovery: In complex financial datasets, our AI surfaces meaningful signals helping you make smarter decisions.

 

Oxogen isn’t just another AI tool. It’s the result of extensive work to pioneer a culture of open innovation where financial accuracy meets verifiable results.

 

A big thank you to the teams at Meta & IBM for spotlighting our collaboration!

 

Check out the case study and don’t forget to grab the full PDF version!

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Put AI to Work with Oxide AI https://oxide.ai/2025-05-26-join-us-at-ibms-put-ai-to-work-event-in-stockholm-this-week/ Mon, 26 May 2025 20:18:59 +0000 https://oxide.ai/?p=10730 Don't miss Oxide AI and other innovators at IBM's event in Stockholm this week!

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Put AI to Work with Oxide AI

Don’t miss Oxide AI and other innovators at IBM’s event in Stockholm this week!

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This week you want to make sure you attend IBM‘s excellent Put AI to Work Event in Stockholm. Enterprises are leaning in on AI but how do you get to sustainable value creation, strong trust and higher competitiveness?

Oxide AI will be there so come and say hi 👋 . Also, don’t miss Anders Tylman-Mikiewicz talk on how Hybrid-AI systems already drive tangible results and value in financial research and analysis for global organisations in finance – in ways that help them further enhance their competitive edge.

 

Let’s put AI to work for real!


Program and registration 

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Oxogen V2 Revamp https://oxide.ai/2025-02-27-oxogen-v2-revamp/ Thu, 27 Feb 2025 13:35:04 +0000 https://oxide.ai/?p=9812 Unlock your financial superpower with revamped Oxogen v2!

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Oxogen V2 Revamp

Unlock your financial superpower with Oxogen!

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We decided to share our latest progress with you. We’re moving fast, making big steps, and we’re not done yet. Oxogen updates are rolling out along the way, and we want you on board to share your feedback.


Experience smarter, faster, and deeper financial insights with Oxogen v2, always private, always evolving.

 

Get daily market updates and create your own financial analysts covering 6,000+ market players, 100 most popular cryptocurrencies included.

 

Download Oxogen app now from your App store!

 

 

Social media

 

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Blog: LLMs and Their Environmental Footprint  https://oxide.ai/2024-12-08-blog-llms-and-their-environmental-footprint/ Sun, 08 Dec 2024 20:08:21 +0000 https://oxide.ai/?p=7712 Explore environmental challenges related to LLMs and learn practical steps to mitigate the footprint.

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Blog: LLMs and Their Environmental Footprint 

how Could we use AI more efficiently?

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LLMs, such as OpenAI’s ChatGPT, Google’s Gemini and Meta’s Llama have reshaped our interaction with technology, enabling generation of realistic texts, image creation, and answering complex queries. However, their rise comes with increasing environmental costs. In this blog post, we’ll explore these environmental challenges and offer some practical recommendations for mitigating LLMs environmental footprint. 

 

Energy Consumption of LLMs 

 

  • Deep Learning Foundation: LLMs rely on extensive data and complex calculations. Training these models involves processing large datasets through multiple layers in a neural network, consuming substantial energy. 

  

  • Uniform Energy Usage: LLMs use the same amount of energy regardless of the task complexity because the model operates at maximum capacity for every input. The length (number of tokens) for input and output is what matters, not how difficult the query is. 

 

  • Interaction Complexity: Interacting with LLMs, such as ChatGPT, is generally straightforward as most human interactions are. However, due to randomness in generating varied responses and the need to correct errors or hallucinations, achieving accurate results often requires multiple interactions. 

 

  • Explicit Communication Requirements: Unlike human interactions that often rely on implicit cues, like experiences and body language, LLMs require explicit inputs (context or query). This explicitness requirement increases processing and energy consumption to a large extent. 

 

All these factors contribute to a significant carbon footprint compared to the value delivered. 

 

 

Practical Advice for Using LLM’s Responsibly 

 

A few suggestions from Oxide AI’s team how we can all help to reduce the environmental impact from modern AI. 

 

1. Prioritize Complex Tasks: Use LLMs for challenging problems, such as understanding query intent, resolving ambiguities, and complex information extraction. Simple tasks can often be solved by much less demanding AI technologies, especially for high-volume problems.

 

2. Use Smaller Models: Avoid overusing LLMs for well-defined tasks. Fine-tune smaller, specialized models for domain-specific tasks. Explore vendors offering robust small models, such as

    • IBM Watsonx: Comprehensive models and tools for fine-tuning in their cloud environment. 
    • Microsoft Azure: Phi models in Azure for high-quality, specialized language models. 
    • Meta AI: Small, efficient models like the Llama series (8B). 

 

3. Implement Caching: For frequent, similar requests, use a cache or simpler AI to recognize and retrieve precomputed results, reducing redundant processing and saving energy.

 

4. Optimize Database Interactions: For tasks involving heavy database interactions (e.g., document stores), consider architectural improvements. Utilize Retrieval Augmented Generation (RAG) models or embedding + vector database lookups to reduce GPU-intensive processing. Alternatively, use LLMs to translate natural language requests into database queries for efficient processing with much lower energy impact.

 

5. Minimize Number of Interaction Cycles: Make smart prompts with necessary context information in a single request. LLMs can efficiently tackle complex tasks with high-quality prompts and relevant context. Avoid approaches with brute-force solutions sampling from LLMs. 

 

6. Hierarchical Models: Try Mixture of Experts (MoE) models that assign tasks to specialized sub-models (“experts”), reducing energy use by activating only parts of LLMs. Another possibility is using a hierarchy of smaller language models. 

More To Explore

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We Did Innovation Showcase at Arrow’s “Five Years Out” https://oxide.ai/2024-11-07-innovation-showcase-at-arrows-five-years-out/ Thu, 07 Nov 2024 14:01:22 +0000 https://oxide.ai/?p=7929 Read about Oxogen Showcase in IT-kanalen's article.

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We Did Innovation Showcase at Arrow’s “Five Years Out”

Oxide team

Read about Oxogen Showcase in IT-kanalen’s article

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We’re excited that IT-Kanalen has written about Arrow ECS Sweden Five Years Out event, where we had the honor of showcasing our solution Oxogen AI!

 

At the event, we demonstrated our latest VR solution (currently in development) and our innovative mobile app both of which received fantastic feedback! Being part of this event, focused on exploring what will shape our future five years from now, was truly inspiring.

 

Be sure to check out IT-Kanalen’s latest article to read more about the Five Years Out Innovations Showcases and our solution – Oxogen AI.

 

Read Full article (in Swedish) >>

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Personalized AI Agents for Investment Opportunity Discovery https://oxide.ai/2024-10-23-personalized-ai-agents-for-investment-opportunity-discovery/ Wed, 23 Oct 2024 11:40:32 +0000 https://oxide.ai/?p=7629 In the latest Oxogen release, we introduce personal, strictly private AI Agents, enabling you to finally assemble your own team of agents to scout the market for opportunities.

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Personalized AI Agents for Investment Opportunity Discovery

Oxide team

Your Superpower in Financial AI

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In the past, financial investment research was a cumbersome and time-consuming process, reserved for analysts in big institutions. Analyzing corporate financial statements, ETFs, options, and cryptocurrencies, the manual nature of these tasks required a lot of time and expertise. However, AI is changing the game. AI is transforming this once laborious process into an accessible and powerful tool for individual investors. Imagine commanding a team of intelligent AI Agents to do investment research for you, analyzing every company in the market every single day. With this newfound precision, you can stay informed and make truly educated decisions. 

 

Navigating the Ocean of Financial Data 

 

The sheer volume of digital financial data today often leads to information overload, analysis paralysis, and decision fatigue, especially in the financial sector. The common Fear of Missing Out might push you to analyze 10 companies in a day, but what about 10,000? It’s simply not possible for humans. 

 

To fully assess investment opportunity space, we need a broad scope that goes beyond basic financial data and real-time market updates. This includes exploring patent applications, research publications, news feeds, blog posts, websites, social media channels, and more. Without significant resources, this is only achievable with the help of AI. 

 

Protecting the value of our financial assets is a deeply personal and high-stakes endeavor. Simply stashing money in a savings account is not optimal for financial freedom. Here, AI proves invaluable. It sifts through vast amounts of data, prioritizing and organizing information to present clear, actionable insights. This isn’t about automated decision-making like robo-trading; it’s about knowing where to look. With a refined set of options, you can conduct realistic research further and make well-informed decisions. 
 

Discovery Automation with AI 

 

AI’s capacity for automated opportunity discovery is revolutionary. Leveraging massive amounts of data and sophisticated algorithms, AI can uncover investment opportunities with unprecedented speed and accuracy. It analyzes financial reports, market trends, and economic indicators to pinpoint viable opportunities, all while aligning with an investor’s unique objectives, risk tolerance, and thematic interests. This democratization of advanced financial analytics equips individual investors with insights once accessible only to seasoned experts and institutions. 
 

Personalized AI Agents: Your Own Dream Team 

 

One of the most exciting advancements in AI is the advent of personalized AI agents. These digital workers tirelessly research entire financial marketplaces, surfacing investment opportunities that match an individual’s preferences, financial objectives, constraints, and ethical principles. Imagine commanding your own team of AI researchers, each providing custom insights and recommendations. This isn’t just a minor adjustment; it’s a seismic shift in financial research, empowering individuals with the analytical prowess once exclusive to large institutions. 

 

Thanks to large language models (LLMs like ChatGPT), you don’t have to write code to define agents and their research objectives. Simply express your investment ideas, themes, and goals in natural language. Behind the scenes, the system creates a step-by-step reasoning plan that the AI Agent will execute. You just sit back as the agent discovers opportunities for you to review. 
 

Oxogen – Next Generation AI Tool for the Modern Investor 

 

Oxogen is an AI Agent system designed for financial opportunity discovery and thematic insights, ensuring you stay informed without information overload. A few months ago, we launched the first virtual team of AI agents, autonomously doing research across the entire Nasdaq, NYSE, and LSE (in the UK) to identify biotech/health opportunities. The health sector, known for its volatility and research-driven nature, can be challenging to navigate, but is full of interesting investment opportunities, all tracked by Oxogen. 

 

Since then, we’ve expanded our coverage to the entire emerging technology sector. Our AI system reclassifies the market, moving beyond outdated industry codes (NAICS, SIC, GICS, TRBC, etc.) to facilitate meaningful thematic exploration. The new categories span a wide range, including AI, EVs, 3D-printing, solar power, adtech, gaming, robotics, quantum computing, and more. 

 

Oxogen features a bolder graphical design, setting it apart from traditional financial tools and enhancing user experience. Beneath the sleek interface lies an advanced AI system capable of rapid, precise calculations across entire markets, quantitative step-by-step reasoning, understandable explanations and optimization towards specified objectives. 

 

In the latest Oxogen release, we introduce personal, strictly private AI Agents, enabling you to finally assemble your own team of agents to scout the market for opportunities.

 

 

Download the Oxogen app on your Apple or Android device and explore the future of investment research today.

 

 

Be the first to know how you can design your own team of AI Agents, watch our Demo creation video on our Youtube channel. 

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Speaking Highlights: September 2024 https://oxide.ai/2024-09-26-we-were-speaking-september-2024/ Thu, 26 Sep 2024 12:26:24 +0000 https://oxide.ai/?p=7873 Our CEO Lars Hard at Nordic events, autumn 2024.

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Speaking Highlights: September 2024

Oxide team

Our CEO Lars Hard at Nordic events, autumn 2024

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September was an incredibly eventful month for Oxide AI!

 

We traveled across several Nordic cities, meeting talented individuals who continue to inspire and challenge us.

 

Throughout the month, our CEO Lars Hard contributed to the innovation space by delivering keynote speeches, participating in panel discussions, and he also managed to do some insightful podcasts and interviews (stay tuned for these!).

 

A huge thank you to our amazing partners and friends at RISE Research Institutes of Sweden, IBM Innovation Studio, and Innovation Skåne for their support and collaboration.

 

It’s been a fantastic kickoff to the season, and there’s much more to come!

special thanks: Ingrid af Sandeberg, Marta Schulze, Urban Roth, Christer Månsson, Sonja Schwarzenberger

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Join Urban and Lars at IBM’s “Put AI to Work” https://oxide.ai/2024-08-30-join-urban-and-lars-at-ibms-put-ai-to-work/ Fri, 30 Aug 2024 11:05:55 +0000 https://oxide.ai/?p=7817 Learn about financial AI agents from Lars Hard at IBM's event "Put AI to Work".

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Join Urban and Lars at IBM’s “Put AI to Work”

Oxide team

Learn about financial AI agents from Lars Hard at IBM’s event “Put AI to Work”

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Join Oxide AI and IBM to explore how watsonx.ai can be applied in financial AI!

 

  • September 10
  • Stockholm, Sergelhub

 

Lars and Urban Roth from IBM will talk about application of AI in finance and banking (session B8, 11:45 AM).

 

Learn about financial AI agents from Lars Hard! Don’t miss out on this opportunity to learn and innovate.

 

Register via this link 

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We win double IBM Fintechx awards 2024 https://oxide.ai/2024-02-08-we-win-ibm-fintechx-awards-2024/ Thu, 08 Feb 2024 13:36:56 +0000 https://oxide.ai/?p=7315 We are pleased to announce that Oxide AI has received dual awards for the service oxogen.ai: “Best Potential Investment” (by Findec & Resurs) and "Best GenAI” (by IBM).

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We win double IBM Fintechx awards 2024

Learn how to Maximize the Value of Your Data Assets for AI

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On Feb 1, we attended IBM’s Fintechx Demo that marked a significant milestone for Oxide AI. Our team has spent the past three months advancing generative AI for our B2C and B2B technologies, and thanks to our collaboration with IBM, we have made substantial progress.

We are pleased to announce that Oxide AI has received dual awards for the service oxogen.ai

 

“Best Potential Investment” (by Findec & Resurs)

“Best use of GenAI” (by IBM)

 

These awards affirm the strength of our vision and the dedication of our team in bringing innovative solutions to the financial market.

Oxide AI supports IBM’s commitment to open language models in watsonx, and we aim to further contribute to this initiative by sharing data and models with the AI community.

Looking ahead, we are eager to continue our collaboration with IBM as we bring our financial service platform Oxogen to a global market.

We extend our appreciation to the team at IBM Innovation Studio in Stockholm for orchestrating the Fintechx program and Client Engineering Org for support, which provided a critical platform for technical and business development.
We would like to thank Antouman JallowEmma BachnerStefan PalmStefan Terelius and Urban Roth for their exceptional contributions.

And of course thanks to the panel and program partners from
CrosskeyFindecHandelsbankenIBM VenturesResursShibuyaWellstreet and Ålandsbanken Abp.

P.S. Special recognition goes to the Oxide and IBM squad doing all the dev work.

IBM Fintchx awards

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Fintech AI agent on Twitter/X https://oxide.ai/2024-02-02-fintech-ai-agent-on-twitter-x/ Fri, 02 Feb 2024 13:45:17 +0000 https://www.oxide.ai/?p=7302 Meet fintech AI agent that posts daily original financial insights on Twitter/X.

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Fintech AI agent on Twitter/X

Meet fintech AI agent that posts daily original financial insights on twitter/x.

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Meet fintech AI agent that posts daily original financial insights on twitter/x. Every day Agent picks one of the interesting investment opportunities and generates a short financial text presenting a market insight, an opportunity to look into. You also get a ticker and a link to the company page for further actions. Remember this a junior agent with some learning curve, but it can only get better from this point.  

Follow oxogen on twitter/x https://twitter.com/oxogenai

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