AskBobby: The AI Tool Helping People in Need Locate Social Services

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Homelessness and food insecurity are pressing issues across the United States, with cities grappling to provide adequate resources and support for those in need. Recent statistics reveal that New York City, for instance, faces a homelessness crisis unseen since the Great Depression, with over 350,000 individuals lacking stable housing. The current systems that tackle these … Read more

Microsoft could end up with substantial equity in the restructured, for-profit OpenAI

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How much equity in OpenAI will Microsoft get once the former becomes a for-profit company? That’s the multi-billion-dollar question — one the two parties are racing to answer ahead of a two-year deadline. The Wall Street Journal reports that both Microsoft and OpenAI have hired investment banks to negotiate Microsoft’s equity — which could be … Read more

The HackerNoon Newsletter: The Paradox of AI: If It Cant Replace us, Is It Making Us Dumber? (10/18/2024)

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How are you, hacker? 🪐 What’s happening in tech today, October 18, 2024? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, U.S Takes Possession of Alaska in 1867, Thomas Edison dies in 1931, Clean Water Act becomes law in 1972, and we present you with these top quality stories. … Read more

How Mixtral 8x7B Sets New Standards in Open-Source AI with Innovative Design

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Table of Links Abstract and 1. Introduction 2 Architectural details and 2.1 Sparse Mixture of Experts 3 Results 3.1 Multilingual benchmarks, 3.2 Long range performance, and 3.3 Bias Benchmarks 4 Instruction Fine-tuning 5 Routing analysis 6 Conclusion, Acknowledgements, and References 6 Conclusion In this paper, we introduced Mixtral 8x7B, the first mixture-of-experts network to reach … Read more

Routing Analysis Reveals Expert Selection Patterns in Mixtral

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Table of Links Abstract and 1. Introduction 2 Architectural details and 2.1 Sparse Mixture of Experts 3 Results 3.1 Multilingual benchmarks, 3.2 Long range performance, and 3.3 Bias Benchmarks 4 Instruction Fine-tuning 5 Routing analysis 6 Conclusion, Acknowledgements, and References 5 Routing analysis In this section, we perform a small analysis on the expert selection … Read more

How Instruction Fine-Tuning Elevates Mixtral – Instruct Above Competitors

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Table of Links Abstract and 1. Introduction 2 Architectural details and 2.1 Sparse Mixture of Experts 3 Results 3.1 Multilingual benchmarks, 3.2 Long range performance, and 3.3 Bias Benchmarks 4 Instruction Fine-tuning 5 Routing analysis 6 Conclusion, Acknowledgements, and References 4 Instruction Fine-tuning We train Mixtral – Instruct using supervised fine-tuning (SFT) on an instruction … Read more

Mixtral’s Multilingual Benchmarks, Long Range Performance, and Bias Benchmarks

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Table of Links Abstract and 1. Introduction 2 Architectural details and 2.1 Sparse Mixture of Experts 3 Results 3.1 Multilingual benchmarks, 3.2 Long range performance, and 3.3 Bias Benchmarks 4 Instruction Fine-tuning 5 Routing analysis 6 Conclusion, Acknowledgements, and References 3.1 Multilingual benchmarks Compared to Mistral 7B, we significantly upsample the proportion of multilingual data … Read more

Mixtral Outperforms Llama and GPT-3.5 Across Multiple Benchmarks

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Table of Links Abstract and 1. Introduction 2 Architectural details and 2.1 Sparse Mixture of Experts 3 Results 3.1 Multilingual benchmarks, 3.2 Long range performance, and 3.3 Bias Benchmarks 4 Instruction Fine-tuning 5 Routing analysis 6 Conclusion, Acknowledgements, and References 3 Results We compare Mixtral to Llama, and re-run all benchmarks with our own evaluation … Read more

Understanding the Mixture of Experts Layer in Mixtral

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Table of Links Abstract and 1. Introduction 2 Architectural details and 2.1 Sparse Mixture of Experts 3 Results 3.1 Multilingual benchmarks, 3.2 Long range performance, and 3.3 Bias Benchmarks 4 Instruction Fine-tuning 5 Routing analysis 6 Conclusion, Acknowledgements, and References 2 Architectural details Mixtral is based on a transformer architecture [31] and uses the same … Read more

Mixtral—a Multilingual Language Model Trained with a Context Size of 32k Tokens

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:::info Authors: (1) Albert Q. Jiang; (2) Alexandre Sablayrolles; (3) Antoine Roux; (4) Arthur Mensch; (5) Blanche Savary; (6) Chris Bamford; (7) Devendra Singh Chaplot; (8) Diego de las Casas; (9) Emma Bou Hanna; (10) Florian Bressand; (11) Gianna Lengyel; (12) Guillaume Bour; (13) Guillaume Lample; (14) Lélio Renard Lavaud; (15) Lucile Saulnier; (16) Marie-Anne … Read more

The Paradox of AI: If It Can’t Replace us, Is It Making Us Dumber?

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Alright, folks, let’s talk about the paradox of AI. I mean, yeah, sure—AI can’t exactly replace us. We’ve all read those headlines: “AI Takes Jobs,” “Chatbots to Replace Customer Service Reps,” and the occasional “AI Now Writes Better Love Letters Than You Ever Did” (not that it’s hard, buddy, you just haven’t been loved enough). … Read more

WP Engine files an injuction to get its WordPress.org access back

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Web hosting provider WP Engine has filed an injunction in a court in North California, asking it to intervene and restore its access to the WordPress.org open-source repository. After WP Engine filed a lawsuit against WordPress co-creator Matt Mullenweg and Automattic last month, Mulleweng — who also owns WordPress.org — blocked the company’s access to … Read more

FCC says all smartphones must be hearing aid compatible

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The AirPods Pro 2 recently received FDA authorization as OTC hearing aids. | Photo by Chris Welch / The Verge The Federal Communications Commission announced that going forward, all mobile handsets, including smartphones, in the US will have to be compatible with hearing aids. It’s also established new rules around volume control and improved product … Read more