Imo most programming will be done in natural language in the future, but you still need to know what you’re doing.
LLMS
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AI Multimodal Capabilities Improving: Test Latest Models
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PROBLEM SETS: Might perform middle of the road today, but assume AI will continue to improve and will become more multimodal and can even answer geometry questions like the below. Keep testing your questions in ChatGPT GPT-4 and Bing creative mode.
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Survey on Multimodal Large Language Models and Instruction Tuning
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A Survey on Multimodal Large Language Models Large multimodals are likely going to be one of the next big things in AI research. This is a great survey on multimodal large language models(MLLM). Talks about topics like multimodal instruction tuning, multimodal in-context
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AutoGPT, LangChain and Top AI Skills for Data Scientists
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KDnuggets Top Posts for March 2023: AutoGPT: Everything You Need To Know: AutoGPT: Everything You Need To Know • Top 19 Skills You Need to Know in 2023 to Be a Data Scientist • 8 Open-Source Alternative to ChatGPT and Bard • LangChain 101: Build Your… https://
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sts-apr-2023.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=kdnuggets-top-posts-for-march-2023-autogpt-everything-you-need-to-know
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Understanding Transformer Models: Architecture and Text Generation
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Dive into the fascinating world of Transformer models! Luis Serrano breaks down the architecture & functionality of these ML marvels in this blog. You'll learn how they maintain context, generate coherent text, & much more! Enhance your AI knowledge
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Self-Retrieval Architecture for Long-Range Language Modeling
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9/ Long-range Language Modeling with Self-Retrieval – an architecture and training procedure for jointly training a retrieval-augmented language model from scratch for long-range language modeling tasks.
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Theory-of-Mind Evaluation Framework for Large Language Models
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7/ Understanding Theory-of-Mind in LLMs with LLMs – a framework for procedurally generating evaluations with LLMs; proposes a benchmark to study the social reasoning capabilities of LLMs with LLMs.
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Self-Supervised LLM Evaluation Framework for Deployment Monitoring
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8/ Evaluations with No Labels – a framework for self-supervised evaluation of LLMs by analyzing their sensitivity or invariance to transformations on input text; can be used to monitor LLM behavior on datasets streamed during live model deployment.
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Computer Vision Through Natural Language: LLM-Based Modular Approach
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3/ Computer Vision Through the Lens of Natural Language – a modular approach for solving computer vision problems by leveraging LLMs; the LLM is used to reason over outputs from independent and descriptive modules that provide information about an image.
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LeanDojo: Open-Source Toolkit for AI Theorem Proving
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1/ LeanDojo – an open-source Lean playground consisting of toolkits, data, models, and benchmarks for theorem proving; also develops ReProver, a retrieval augmented LLM-based prover for theorem solving using premises from a vast math library.