Following the deprecation of existing models, the author transitioned to GPT-Oasis 20B, recognizing its advantages for local execution with efficient 4-bit quantization. This choice allowed seamless integration into anti-money laundering workflows. The…
A critical issue arises with high-throughput payment switches in regions like Africa and Southeast Asia, where advanced AI models misinterpret transaction flow due to anomalies. This leads to significant false positives, overwhelming compliance and sup…
The article critiques the reliance on rented multi-tenant cloud AI APIs by financial institutions for compliance-heavy operations. It emphasizes that such approaches are inherently risky, leading to potential egress violations, audit unpredictability, …
The journey of LISP technology began in 2003, emphasizing deterministic systems without probabilistic errors. Over two decades, technology evolved through various AI paradigms, leading to a focus on secure, efficient, and precise architectures. Key tre…
In May, FDE (Forward-Deployed Engineer) emerged as a key role amid AI firms like Anthropic and OpenAI forming significant partnerships and ventures. However, the focus on deployment over modeling highlights systemic challenges within enterprise AI proj…
The article reflects on the evolution of AI and critiques the industry’s tendency to scale technology without efficiently addressing the underlying engineering principles. It emphasizes the importance of innovation, efficiency, and smarter architecture…
The content discusses a key issue in AI infrastructure: managing memory in reasoning models. When a model runs out of GPU memory, simply evicting tokens from the cache does not free up memory due to fragmented storage. Innovative solutions like NVIDIA’…
This essay draws parallels between Maxwell’s Demon and agentic AI in fintech, emphasizing that perceived efficiencies come with hidden costs. It highlights Rolf Landauer’s principle that every intelligent system incurs a thermodynamic cost, urging fint…
We are going to discusses the complexities of software architecture, debunking the binary view of monoliths versus microservices. It emphasizes that effective architecture involves understanding various patterns, each with its own trade-offs and costs….
The CTO emphasizes the importance of effective data engineering in Retrieval-Augmented Generation (RAG) systems, identifying five failure points and solutions. He argues that model issues often stem from corrupt input data rather than the model itself….
