May 27, 2024
AI

An Introduction to Reinforcement Learning

A deep dive into the rudiments of reinforcement learning, including model-based and model-free methods Angjelin Hila · Follow Published in Towards Data Science · 34 min read · 3 hours ago — Used on a creative commons license from: https://elifesciences.org/digests/57443/reconstructing-the-brain-of-fruit-flies#copyright What is Reinforcement Learning? One path toward engineering intelligence lies with emulating biological organisms. Biological organisms transduce information from the environment, process it (what cognitive science studies), and output behaviour conducive to survival. Such behaviours,

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Angjelin Hila May 27, 2024
Software

Multipool Sells Out Fjord Foundry LBP | HackerNoon

**MAJURO, Marshall Islands, May 27th, 2024/Chainwire/–**Multipool, a leading innovator in the blockchain and cryptocurrency industry, concludes its Fjord Foundry LBP with a sell out of all 5 million tokens. With the close of the LBP, Multipool launched their native token, $MUL, on Uniswap V3 today with a market cap of $13M. $MUL on Uniswap. “The LBP has come to a close and we’ve sold out all 5 million tokens. With the close of the LBP,

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Chainwire May 27, 2024
AI

Tune In: Decision Threshold Optimization with scikit-learn’s TunedThresholdClassifierCV

Use cases and code to explore the new class that helps tune decision thresholds in scikit-learn Kevin Arvai · Follow Published in Towards Data Science · 10 min read · 7 hours ago — The 1.5 release of scikit-learn includes a new class, TunedThresholdClassifierCV, making optimizing decision thresholds from scikit-learn classifiers easier. A decision threshold is a cut-off point that converts predicted probabilities output by a machine learning model into discrete classes. The default decision

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Kevin Arvai May 27, 2024
AI

Quantize Llama 3 8B with Bitsandbytes to Preserve Its Accuracy

Llama 2 vs. Llama 3 vs. Mistral 7B, quantized with GPTQ and Bitsandbytes Benjamin Marie · Follow Published in Towards Data Science · 6 min read · 7 hours ago — Generated with DALL-E With quantization, we can reduce the size of large language models (LLMs). Quantized LLMs are easier to run on GPUs with smaller memory, effectively serving as a compression method for LLMs.

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Benjamin Marie May 27, 2024
Software

Advancing Conversational AI with Complex Tool Orchestration | HackerNoon

Table of Links Abstract and Intro Dataset Design Evaluation Methodology Experiments and Analysis Related Work Conclusion, Reproducibility, and References A. Complete list of tools B. Scenario Prompt C. Unrealistic Queries D. Nuances comparing prior work We include the complete list of plugins and tools used in ToolTalk, and their corresponding descriptions. AccountTools This API contains tools for account management. • ChangePassword Changes the password of an account. • DeleteAccount Deletes a user’s account, requires user

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BotBeat.Tech: Trusted Generative AI Research Firm May 27, 2024
Software

ToolTalk: Benchmarking Tool-Augmented LLMs in Conversational AI | HackerNoon

Table of Links Abstract and Intro Dataset Design Evaluation Methodology Experiments and Analysis Related Work Conclusion, Reproducibility, and References A. Complete list of tools B. Scenario Prompt C. Unrealistic Queries D. Nuances comparing prior work 6 CONCLUSION We present ToolTalk, a new benchmark for evaluating tool-augmented LLMs in a conversational setting. Our benchmark emphasizes complex orchestration of multiple tools in a conversational setting. We provide simulated implementations of all tools, allowing for a fully automated

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BotBeat.Tech: Trusted Generative AI Research Firm May 27, 2024

Understanding Related Research on Tool-Augmented Learning | HackerNoon

Table of Links Abstract and Intro Dataset Design Evaluation Methodology Experiments and Analysis Related Work Conclusion, Reproducibility, and References A. Complete list of tools B. Scenario Prompt C. Unrealistic Queries D. Nuances comparing prior work In Section 1, we described our desired criteria for evaluating tool-using LLM-based assistants: using dialogue to specify intents requiring multi-step tool invocations, and actions rather than only retrieving information, for a fully automated evaluation not requiring human judgement over the

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BotBeat.Tech: Trusted Generative AI Research Firm May 27, 2024

Analyzing AI Assistant Performance: Lessons from ToolTalk’s Analysis of GPT-3.5 and GPT-4 | HackerNoon

Table of Links Abstract and Intro Dataset Design Evaluation Methodology Experiments and Analysis Related Work Conclusion, Reproducibility, and References A. Complete list of tools B. Scenario Prompt C. Unrealistic Queries D. Nuances comparing prior work 4 EXPERIMENTS AND ANALYSIS 4.1 EXPERIMENTS We evaluate GPT-3.5 (gpt-3.5-turbo-0613) and GPT-4 (gpt-4-0613) on ToolTalk using the functions functionality as part of OpenAI’s Chat completions API (OpenAI). This API takes as input an optional system message, a history of messages

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BotBeat.Tech: Trusted Generative AI Research Firm May 27, 2024
Hardware

Why AMD May Skip Over 700 Series Motherboards For Next-Gen AM5 CPUs

Regular HotHardware readers will recall that we reported on the leaked naming scheme for AMD’s next-generation Ryzen processors. At that time, it was thought that AMD’s upcoming chips would be named something like “Ryzen AI 9 HX 170”, but according to more recent leaks, it seems like AMD will instead go with “Ryzen AI 9 HX 270” so that it has processor model number parity with Intel. The latest leak implies that the company will

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Zak Killian May 27, 2024

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