Over the course of 2025, I was able to present much of my work, ranging from a clinical chatbot to personal research and competitive projects to a broader audience through these blogs. Alongside research-focused writing, this space also became a record of ongoing learning and experimentation.
With the increased volume of studying, reading, and development work, there were periods where I felt overwhelmed, which naturally led to gaps in posting frequency. While a similar workload continues today, the direction of both my research and writing has become clearer.
Looking ahead, my goal for the coming year is to publish well-defined, technically grounded insights across my primary areas of focus: namely large language model development, chatbot systems, and classifier-based studies presented in a way that is both accessible and practical.
As 2026 approaches, I also plan to explore adjacent areas of study and document those explorations here in the form of focused blog posts. In preparation for the upcoming year, the following topics are currently in development:
The RASA introductory blog series
An introduction to the fundamentals of RASA, aimed at helping readers understand chatbot development using intent-based design and predefined responses.
In-depth analysis of recent research
Although conducted at a small scale, this study highlighted the continued importance of strong baselines. Future posts will explore these results in greater depth, examining why such behavior emerges and how it can be reliably amplified or improved.
Pattern-based distortion of model attention
An exploration of how structured patterns can influence and concentrate model attention within specific regions of interest, with potential implications for improved model interpretability and performance.
These topics are expected to be completed by late January 2026.
Until next time.
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