In data journalism the use-cases are mainly around structured data extraction and other forms of transformation Inputting a 5MB HTML file to output a ~3MB CSV or JSON file for example Also things like "translate this report from Spanish to English" where the report might be >4k
LLMS
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LLMs Automating Well-Defined Tasks and Front-End Code
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I suspect that well-defined tasks that can be posted to Fiverr or have a clear set of success conditions (e.g. make a custom WordPress plugin) are not far from being "automated" if that's how you think about it. Front-end code is already very LLM-suited!
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LLMs Tools and Data Structures Debate
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These arguments are a strawman Filip; there are other tools for this and they work fine. (I wouldn't want to use a new data-structure that's not in a reliable library or shipped as standard.) These ignore main purpose that LLMs can be used for today…
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Using LLMs to Simplify Complex Shell Commands
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I also use LLMs for stupid shell commands that are not as intuitive as they should be. This also cuts down on looking up the man page or searching Stack Overflow.
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Open-source LLMs Transform Coding Practices with Clean Copyright
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First I'd like to point out that there are permissively-sourced LLMs for coding, and there's nothing technical stopping all of them from having a clean Copyright chain of title. With that said, LLMs have fundamentally changed the way I code…
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LLM2LLM: Iterative Data Augmentation Strategy for Model Fine-tuning
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10). LLM2LLM – an iterative data augmentation strategy that leverages a teacher LLM to enhance a small seed dataset by augmenting additional data that can be used to effectively fine-tune models.
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FollowIR Dataset Improves Information Retrieval Model Performance
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9). FollowIR – a dataset with instruction evaluation benchmark and a separate set for teaching information retrieval model to follow real-world instructions; a FollowIR-7B model has significant improvements (over 13%) after fine-tuning on a training set.
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AIOS: LLM Agent Operating System Integration Framework
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8). AIOS – an LLM agent operation system that integrates LLMs into an OS as a brain; the agent can optimize resource allocation, context switching, enable concurrent execution of agents, tool service, and even maintain access control for agents.
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Agent Lumos: Unified Framework for Training Open-Source LLM Agents
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7). Agent Lumos – a unified framework for training open-source LLM-based agents; it consists of a modular architecture with a planning module that can learn subgoal generation and a module trained to translate them to action with tool usage.
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Long-Form Factuality Evaluation in Large Language Models
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6). Long-form factuality in LLMs – investigates long-form factuality in open-domain by generating a prompt set of questions including 38 topics; also proposes an LLM-based agent to perform evaluation for the task.