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December newsletter

December 2020 gwern.net newsletter with links on AI and technology; major new site feature: fully-generalized recursive popups.

Research

CLIP: Connecting text and images

We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision. CLIP can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognize…

Uncategorised

Controllable Neural Text Generation

[Updated on 2021-02-01: Updated to version 2.0 with several work added and many typos fixed.]

[Updated on 2021-05-26: Add P-tuning and Prompt Tuning in the “prompt design” section.]

[Updated on 2021-09-19: Add “unlikelihood trainin…

ai, business

How AI in Customer Services Can Transform Your Business

The world has forgotten how to wait. And this lack of patience is putting businesses under strain. Customers expect queries to get an instant response — and if a company fails to deliver, they’ll often lose the customer for good. Where has this expectation come from? In no small part, it’s down to the use […]

Artykuł How AI in Customer Services Can Transform Your Business pochodzi z serwisu DLabs.AI.

ai, business

Sales Forecasting: 5 Tips To Improve Your Process (Supported By A Case Study)

Effective sales forecasting is the key to success for almost every business. However, creating accurate forecasts that reflect reality can feel like ‘mission impossible.’ That’s why we’ve used our experience developing sales-focused software to put together five tips that will help you forecast more accurately. Why Sales Forecasting Is Key In Business? Before we get […]

Artykuł Sales Forecasting: 5 Tips To Improve Your Process (Supported By A Case Study) pochodzi z serwisu DLabs.AI.

Conferences, Research

What is the Right Response to Employer Misbehavior in Research?

I enjoyed my conversations with Timnit when she was in the MSR-NYC lab, so her situation has been on my mind throughout NeurIPS. Piecing together what happened second-hand is always tricky, but Jeff Dean’s account and Timnit’s agree on a basic outline. Timnit and others wrote a paper for FAccT which was approved for submission …

business, Software

This Is Where JavaScript Beats Python For Machine Learning

In my previous article, I compared the performance of Python to JavaScript when training a machine learning model. Though JavaScript should have had a computational advantage, it didn’t stand a chance against Python. Data processing is Python’s strong suit. In contrast, as illustrated by my study, JavaScript can only handle smaller datasets. Truth be told, […]

Artykuł This Is Where JavaScript Beats Python For Machine Learning pochodzi z serwisu DLabs.AI.

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