Linear Digressions is a podcast series covering machine learning and AI topics, with episodes such as "LLM as a Judge," a cross-post on AI and podcasting from the Harvard Data Science Review, and a benchmark installment on ExploitGym. One episode examines mechanistic interpretability, described as an approach that opens the model itself to trace why it behaves as it does.
Dedupe
A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
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0Linear Digressions is a podcast series covering machine learning and AI topics, with episodes such as "LLM as a Judge," a cross-post on AI and podcasting from the Harvard Data Science Review, and a benchmark installment on ExploitGym. One episode examines mechanistic interpretability, described as an approach that opens the model itself to trace why it behaves as it does.
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0IBM Watson is enterprise AI technology from IBM. IBM Research began work in 2007 on a computer system to compete at Jeopardy!, and in 2011 the Watson system defeated two top-ranked players. Watson technology became available as a cloud development platform in 2013. In 2023 IBM announced the watsonx AI portfolio for training, tuning and distributing models.
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0Narrow is an AI Sales Agent that handles inbound questions and outbound prospecting, including booking meetings, and is positioned as an alternative to a junior sales rep rather than an SDR tool. The site states it knows the product from day one and takes about 10 minutes to set up. Plans start at $1,500/mo for Starter; Growth is $3,000/mo with 5 agents and 5,000 emails/month.
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Agentprobe is a tool that tests seller URLs for agentic commerce readiness. It evaluates whether an AI agent can discover, quote, and complete a purchase using 13 probes, such as llms.txt, OpenAPI, and checkout APIs. Results are scored from NOT_READY (
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0spaCy is a free open-source library for Natural Language Processing in Python. It features named entity recognition, part-of-speech tagging, dependency parsing and word vectors, supports over 75 languages and provides 84 trained pipelines for 25 languages.
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0Statsmodels is a Python module providing classes and functions for estimating statistical models, conducting statistical tests, and statistical data exploration. It supports model specification using R-style formulas and pandas DataFrames, and is released under the open source Modified BSD (3-clause) license.
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