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.
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.
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.
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.
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.
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 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.
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.
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.
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.
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.
Success in startups requires embracing evolution, discarding failed attempts, and continuously adapting strategies based on customer needs and feedback.
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.
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.
