Blog
Integrating Agents with Data Layers for True Business Value
To achieve true business value, we must leverage our unique data by integrating a network of agents with a data layer, going beyond simple memory utilization.
Memory Management in Intelligent Solutions: Key Types of Agent Memory
Memory management is a critical challenge in creating intelligent solutions. Discover the nine types of Agent memory used in our platform.
Firstscore AI Platform: The Power of Agents in Action
Our platform is fully agent-based, enabling the creation of a wide range of applications with incredible flexibility. Here's a closer look at the principles behind it.
The Rise of AI Agents: Shaping Our Future
AI agents, once a distant concept, are now becoming an integral part of our daily lives. The new frameworks and breakthroughs in orchestration are leading us to a future where AI collaborates seamlessly.
Introducing Full Transparency of Logic on Our Platform!
We're introducing a new feature that brings complete transparency to AI logic on our platform. Now, users can track every action and decision made by AI in real time.
How We Effectively Reduce AI Hallucinations in Firstscore Platform
Discover the simple and advanced methods we use to effectively reduce AI hallucinations in the Firstscore platform, leading to more reliable and accurate results.
How I Solved the Problem of a Fatigued AI Tester
Discover how a system of four AI agents solved the problem of manual testing, improving reliability and efficiency. Could this be the future of AI testing?
GPT-4 vs Chinese Deepseek v3 in a Heated Debate!
We put two powerful models in the ring to debate the future of education. The conversation became so intense that it almost got too heated. This is no longer prompt engineering – it’s the next level of AI interaction.
Three Key Features of Our Platform – Contact Us for Pilot Implementations
Discover the key features of our platform that help extract knowledge from private documents, support a wide range of LLM providers, and offer contextual decision-making assistance. Contact us for pilot implementations.
A Month Ago, I Challenged LLM Models – They Had to Predict Whether a Fort Knox Audit Would Happen
A challenge was issued to LLM models to predict a Fort Knox audit, and while the models showed conservative results, some did highlight potential market movements. The experiment raises important questions about the predictive power of AI.
Your Competitor Just Announced They Run the Entire Company with a Team Five Times Smaller Than Yours – And Still Grow.
While your competitors run their companies with smaller teams, your AI agents may still be stuck in basic, generalized models. In this article, we explore how learning from mistakes, adapting to context, and personalizing communication can give your business the edge.
Marketers Start with Packaging. Engineers Start with Foundations.
Marketers and engineers approach AI development differently, but both have a significant impact. In this article, we discuss the balance between creativity, seriousness, and the evolution of the Firstscore AI platform.
An App in 17 Minutes? Nonsense!
Apps created in minutes may be "cool," but do they solve real problems? In this article, we explore the importance of product-driven development, user understanding, and the future of AI engineering.
AI Does Not Know the Future.
Despite the growing enthusiasm around AI, it is important to understand its limitations. Artificial intelligence does not know the future, does not understand meanings, and does not create inspiration. AGI remains more of a myth than a real goal.
Classic RAG Was Definitely Not Enough
After encountering many obstacles and failures while building a textbook architecture, we've developed something more advanced. Soon, we'll have our internal perplexity engine working on private data and granting superpowers to users.
RAG vs finetunning
The race for industry-specific AI models is accelerating, with companies choosing between fine-tuning generic models for precision and consistency or adopting RAG for flexibility, up-to-date information, and cost efficiency, each offering distinct advantages and challenges.
Data in AI
The key to outperforming universal AI models lies in acquiring exclusive, high-quality industry-specific data, as real data—rather than generic LLM outputs—drives competitive advantage in AI development.
Stateless AI
AI-powered services rely on predictive algorithms to generate responses, but their success hinges on effective context retention, achieved through scalable data modeling and dual NoSQL databases.
Where Two Fight, the Third Gains: Who Benefits from the AI War?
The article highlights how companies like Palantir are benefiting in the AI race, with Palantir’s stock rising 23%. It emphasizes that the real advantage in AI comes from unique data and local applications, not just cheap algorithms, and those who integrate AI effectively will find true value.
Data and Causality
Data alone isn't enough to solve business problems. It explains three levels of reasoning - data analysis, understanding causality, and simulations. While AI is improving, combining data with expert knowledge and advanced tools could be the ideal solution.
Can AI Truly Understand Your Organization?
Effective AI relies on precise, context-aware search to leverage internal knowledge, ensuring accurate results in recommendation systems and RAG models by preparing, enriching, and optimizing domain-specific data.
How to Build a Recommender System
AI projects can be exciting yet challenging, requiring clear goals, quality data, and flexibility to navigate hurdles like the "valley of death" and technical debt, ultimately leading to valuable, scalable solutions.
The Dream Team
Discover how our "dream team" of integrated language models, including LLaMA, Gemma, and Bielik, collaborates to create a highly efficient, self-improving Personal Advisor for superior IT advice.
AI Wargames
We simplify AI implementation by automating hyperparameter tuning, using AI to validate models, and continuously refining algorithms, ensuring high-quality, cost-effective solutions for any business.
We've surpassed a million!
SharksTracker.com analyzes daily transactions from hedge funds, ETFs, and insiders managing $50 trillion in capital, providing unique data for investment decisions with growing user engagement.
Avoiding AI Hallucinations: Best Practices
AI solutions require careful planning, solid data, and effective constraints to prevent hallucinations and ensure accurate results, especially when extracting knowledge from unstructured or private data.
The Role of Conversation Flows
The AI market is rapidly growing, with chatbot automation expected to reach billion-dollar valuations by 2030, while startups face challenges from technology providers replicating their innovations.
New Era of Personalization
AI-driven hyper-personalization is revolutionizing user experiences by continuously adapting to individual preferences and behaviors, making interactions more tailored and valuable than ever before.
Infrastructure for AI
When implementing AI, companies must carefully choose between cloud, hybrid, or on-premise infrastructure to align with their goals, ensuring the right balance of flexibility, security, and scalability.
Optimizing Non-English LLMs
To effectively use non-English LLMs like Bielik for Polish, combining it with larger models for advanced logic and reasoning ensures both linguistic accuracy and task performance.
AI-Driven Journalism
In the past year, I wrote 2500 articles—equivalent to three full-time journalists—by leveraging AI, efficient data acquisition, and cloud services, producing content at scale with minimal cost.
Strategy Leading to Evolution
Success in startups requires embracing evolution, discarding failed attempts, and continuously adapting strategies based on customer needs and feedback.
The Challenges for Companies
In 2024, AI is set to transform business, with companies focusing on implementation, customization, and security while leveraging open-source models and emerging applications to unlock data-driven insights.
From Curiosity to AI Breakthroughs
A childhood encounter with a computer sparked a lifelong passion for technology, leading to groundbreaking discoveries in AI and the ongoing UX revolution reshaping industries and automating tasks.