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Liquid AI Releases LFM2.5-2.6B: An On-Device Agentic Model With 128K Context, Tool Calling, And Open Weights
Liquid AI released LFM2.5-2.6B, an agentic model that runs entirely on-device. It plans, calls tools, and works through multi-step tasks on phones, laptops, PCs, and…
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I Built an AI Data Agent Which Can Query Data and Answer Business Questions. Here’s How.
In my last article, Many Companies Use AI. Few Know How to…
Locking Pretrained Weights via Deep Low-Rank Residual Distillation
The quality of open-weight language models has dramatically improved in recent years.…
Adaptive Experimentation with Meta’s Ax: A Practical Coding Guide
In this tutorial, we explore adaptive experimentation using Meta’s Ax with the…
Last Month’s Machine Learning Lessons Learned
reviews at, well, the end of the month. This time, there was…
I Built a Tool-Calling Agent in Python. Here’s How I Debugged It
is impressive when it works. But when it fails, the final answer…
Loop Engineering for Cross-References: When RAG Answers ‘see Section 7.2’ Instead of the Actual Answer
gives you this answer: “the applicable sublimit is defined in Section 7.2…
Prime Intellect Releases Prime Agent: An Open-Source RLM Harness Where Sub-Agents Are Function Calls Inside Persistent IPython Kernel
Prime Intellect has open-sourced Prime Agent, a self-improving coding harness designed around…
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