~hackernoon | Bookmarks (1871)

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

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Mixtral 8x7B introduces the first mixture-of-experts network to achieve state-of-the-art performance among open-source models, outperforming notable...
Mixtral 8x7B introduces the first mixture-of-experts network to achieve state-of-the-art performance among open-source models, outperforming notable competitors like Claude-2.1 and GPT-3.5 Turbo. By utilizing only 13B active parameters per token, Mixtral maintains high efficiency while delivering superior results. The model will be shared under the Apache 2.0 license to foster advancements in AI applications across diverse fields.

ai-benchmarks mixtral-8x7b sparse-mixture-of-experts transformer-architecture
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Routing Analysis Reveals Expert Selection Patterns in Mixtral

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The routing analysis of Mixtral shows no clear expert specialization across different domains, such as mathematics...
The routing analysis of Mixtral shows no clear expert specialization across different domains, such as mathematics and biology, despite some differences observed in mathematics due to the dataset's synthetic nature. However, structured syntactic behavior is evident, with positional locality affecting expert assignments. This locality may impact model optimization for training and inference, suggesting potential strategies for caching and load balancing.

ai-benchmarks mixtral-8x7b sparse-mixture-of-experts transformer-architecture
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How Instruction Fine-Tuning Elevates Mixtral – Instruct Above Competitors

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Mixtral – Instruct is fine-tuned through supervised methods and Direct Preference Optimization, earning a top score...
Mixtral – Instruct is fine-tuned through supervised methods and Direct Preference Optimization, earning a top score of 8.30 on MT-Bench. Independent evaluations confirm its superiority over major competitors, including GPT-3.5 Turbo and Llama 2 70B, making it the leading open-weights model as of December 2023.

ai-benchmarks mixtral-8x7b sparse-mixture-of-experts transformer-architecture
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Mixtral’s Multilingual Benchmarks, Long Range Performance, and Bias Benchmarks

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Mixtral 8x7B outperforms Llama 2 70B in multilingual benchmarks for French, German, Spanish, and Italian due...
Mixtral 8x7B outperforms Llama 2 70B in multilingual benchmarks for French, German, Spanish, and Italian due to enhanced multilingual training. It achieves 100% retrieval accuracy in long-range tasks and exhibits lower bias in sentiment analysis compared to Llama 2 on the BBQ and BOLD benchmarks, indicating its robustness and improved sentiment profile across diverse social categories.

ai-benchmarks mixtral-8x7b sparse-mixture-of-experts transformer-architecture
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Mixtral Outperforms Llama and GPT-3.5 Across Multiple Benchmarks

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Mixtral 8x7B surpasses Llama 2 70B and GPT-3.5 in numerous benchmarks, including commonsense reasoning, math, and...
Mixtral 8x7B surpasses Llama 2 70B and GPT-3.5 in numerous benchmarks, including commonsense reasoning, math, and code generation. With only 13B active parameters, Mixtral achieves comparable or superior performance while being more efficient than its counterparts. Despite its smaller capacity of 47B parameters, Mixtral excels in metrics like MMLU and demonstrates strong performance across a range of tasks, making it a robust choice for...

ai-benchmarks mixtral-8x7b sparse-mixture-of-experts transformer-architecture
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Understanding the Mixture of Experts Layer in Mixtral

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Mixtral utilizes a transformer architecture enhanced with Sparse Mixture of Experts (MoE) layers, allowing a dense...
Mixtral utilizes a transformer architecture enhanced with Sparse Mixture of Experts (MoE) layers, allowing a dense context length of 32k tokens. The MoE layer's output is derived from the weighted sum of expert networks, enabling efficient processing on single GPUs and distribution across multiple GPUs using Expert Parallelism. While inspired by GShard, Mixtral's approach replaces all feedforward sub-blocks with MoE layers, optimizing performance and...

ai-benchmarks mixtral-8x7b sparse-mixture-of-experts transformer-architecture
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Mixtral—a Multilingual Language Model Trained with a Context Size of 32k Tokens

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Mixtral is a sparse mixture of experts model (SMoE) with open weights, licensed under Apache 2.0....
Mixtral is a sparse mixture of experts model (SMoE) with open weights, licensed under Apache 2.0. Mixtral outperforms Llama 2 70B and GPT-3.5 on most benchmarks. It is a decoder-only model where the feedforward block picks from 8 distinct groups of parameters.

hackernoon-top-story mixtral-8x7b sparse-mixture-of-experts transformer-architecture
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📢 Engage Your Readers: How to Get Content Ideas Through Surveys & Social Media

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One of the best ways to create content that truly resonates with your audience is to...
One of the best ways to create content that truly resonates with your audience is to ask them directly what they want to see. Learn how to go about it here.

editing-protocol hackernoon-top-story hackernoon-writers hackernoon-writing-tips research
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The Paradox of AI: If It Can't Replace us, Is It Making Us Dumber?

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AI is everywhere, from our pockets to our kitchen counters. It’s solving everything—from curing diseases to...
AI is everywhere, from our pockets to our kitchen counters. It’s solving everything—from curing diseases to finding us the best pizza joint. But here’s the paradox: While it makes life easier, is it slowly turning our brains to mush? Dive into my quirky take on whether AI is helping or hindering human intelligence.

ai ai-cant-replace-us ai-making-us-dumber artificial-intelligence brain
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Tutorial: How to Turn Figma Files to SVG with Rect Elements

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Recently came an interesting task, changing custom SVG, to a Webflow project for the animation. I...
Recently came an interesting task, changing custom SVG, to a Webflow project for the animation. I thought it was no big deal, opened a Figma, took the source code of the SVG, threw it in and .... didn't work 😔 Researching the problem, it turned out that the library that animates SVG works directly with rect elements inside the same SVG. Well again no...

code design figma figma-to-svg top-figma-plugins
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Got a Cool Idea for an AI Bot? Here’s How It Could Win You $3000 in the #AI-Chatbot Writing Contest

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The #AI-chatbot writing contest, running until November 6, 2024, invites AI enthusiasts to create personalized chatbots...
The #AI-chatbot writing contest, running until November 6, 2024, invites AI enthusiasts to create personalized chatbots on Coze for a chance to win $7,000 in prizes. Join now, share your process, and showcase your creativity!

ai-chatbot ai-chatbot-development coze coze-ai-agent coze-experience
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Mastering LLM Knowledge Graphs: Build and Implement GraphRAG in Just 5 Minutes

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The Neo4j LLM Knowledge Graph Builder is an innovative application for turning unstructured text into a...
The Neo4j LLM Knowledge Graph Builder is an innovative application for turning unstructured text into a knowledge graph. It uses ML models (LLMs: OpenAI, Gemini, Diffbot) to transform PDFs, web pages, and YouTube videos. This capability is particularly exciting as it allows for intuitive interaction with the data, akin to having a conversation with the knowledge graph itself.

good-company graph-rag llm-knowledge-graphs ml-models neo4j
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INX and Backed Add New Tokenized Stocks to Trading Platform

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INX, a marketplace known for its regulated trading of security tokens and tokenized real-world assets, has...
INX, a marketplace known for its regulated trading of security tokens and tokenized real-world assets, has joined forces with Backed, a pioneer in asset tokenization. Eligible investors outside the United States can now trade tokenized versions of some of the most sought-after stocks in the market.

backed backed-news blockchain inx inx-announcement
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Getting Started with Data Analytics in Python Using PyArrow

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In this guide, we will explore data analytics using **PyArrow**, a powerful library designed for efficient...
In this guide, we will explore data analytics using **PyArrow**, a powerful library designed for efficient in-memory data processing with columnar storage. We will work within a pre-configured environment using the **Python Data Science Notebook Docker Image. This environment includes all the essential libraries for data manipulation, machine learning, and database connectivity.

apache-arrow data-engineering key-pyarrow-objects pyarrow pyarrow-data-analytics
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Mawari Secures $10.8 Million to Advance Spatial Computing Technology

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Tokyo-based Mawari Network has raised $10.8 million in a strategic funding round. Mawari has developed a...
Tokyo-based Mawari Network has raised $10.8 million in a strategic funding round. Mawari has developed a decentralized content delivery network (CDN) specifically designed for immersive 3D experiences. The company's technology enables real-time streaming of 3D content to spatial computing devices such as the Apple Vision Pro and Meta Quest 3.

blockchain cryptocurrency dlt mawari mawari-news
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Somnia and Unstoppable Domains Launch .Dream: A New Era for Web3 Identity

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Somnia and Unstoppable Domains have announced a strategic partnership aimed at expanding digital identity options in...
Somnia and Unstoppable Domains have announced a strategic partnership aimed at expanding digital identity options in the Web3 space. The collaboration centers on the introduction of the.Dream domain within Somnia's ecosystem. This partnership marks a significant development in the ongoing effort to streamline and secure online identities across decentralized platforms.

blockchain good-company news somnia somnia-announcement
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Educational Byte: What Are Bonding Curves and How Can You Earn With Them?

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Bonding curves are mathematical functions that link a token’s supply to its price, creating a dynamic...
Bonding curves are mathematical functions that link a token’s supply to its price, creating a dynamic pricing mechanism. This way, when someone buys tokens, the price adjusts upward according to the curve’S formula. Similarly, when tokens are sold, the supply decreases, causing the price to adjust downward. This method ensures that the price of the token always responds to changes in its demand and...

decentralized-exchange decentralized-finance defi-solutions futures-trading oswap
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The TechBeat: Enhancing Global Communication: The Power of Multi-Language JavaScript OCR APIs for Document Process (10/18/2024)

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How are you, hacker? 🪐Want to know what's trending right now?: The Techbeat by HackerNoon has...
How are you, hacker? 🪐Want to know what's trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. Enhancing Global Communication: The Power of Multi-Language JavaScript OCR APIs for Document Process By @filestack [ 11 Min...

creativity hackernoon-newsletter latest-tect-stories tech-beat technology
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Indonesia, Turkiye, Nigeria and Other Emerging Crypto Markets in 2024

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In this article, I have gathered a few countries in Asia and Africa where regulations have...
In this article, I have gathered a few countries in Asia and Africa where regulations have improved this year: Turkiye, Indonesia, Thailand, Taiwan, Seychelles, Nigeria, and South Africa.

crypto-in-africa crypto-in-turkey crypto-regulation fintech thailand-crypto
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Image Generation: Using Diffusion Networks Explained

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The field of artificial intelligence is booming, image generation is one of most prominent domain. There...
The field of artificial intelligence is booming, image generation is one of most prominent domain. There are lot of competitors on the market, such as Stable Diffusion, Midjourney and DALL-E. All this products based on the diffusion networks approach. Unlike GPTs Diffusion models often seen abstruse, the goal of this story is to demystify complexity of diffusion models and explain how they work in...

ai-image-generation diffusion-models image-generation latent-diffusion-model stable-diffusion
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Increased LLM Vulnerabilities from Fine-tuning and Quantization: Appendix

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adversarial-attacks fine-tuning guardrails jailbreaking quantization
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Increased LLM Vulnerabilities from Fine-tuning and Quantization: Conclusion and References

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Abstract and 1 Introduction 2 Problem Formulation and Experiments 3 Experiment Set-up & Results 4 Conclusion...
Abstract and 1 Introduction 2 Problem Formulation and Experiments 3 Experiment Set-up & Results 4 Conclusion and References A. Appendix 4 CONCLUSION Our work investigates the LLM’s safety against Jailbreak attempts. We have demonstrated how fine-tuned and quantized models are vulnerable to jailbreak attempts and str...

adversarial-attacks fine-tuning guardrails jailbreaking quantization
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Bella Protocol on Decentralized Finance for The Everyday Investor

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Decentralized Finance (DeFi) is growing in adoption, and offers new opportunities for cryptocurrency trading. As new...
Decentralized Finance (DeFi) is growing in adoption, and offers new opportunities for cryptocurrency trading. As new or discerning consumers come into the fold, many have experienced difficulty overcoming a steep learning curve. When this happens, overall returns can be limited.

cryptocurrency decentralization decentralized-finance
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Increased LLM Vulnerabilities from Fine-tuning and Quantization: Experiment Set-up & Results

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Abstract and 1 Introduction 2 Problem Formulation and Experiments 3 Experiment Set-up & Results 4 Conclusion...
Abstract and 1 Introduction 2 Problem Formulation and Experiments 3 Experiment Set-up & Results 4 Conclusion and References A. Appendix 3 EXPERIMENT SET-UP & RESULTS The following section outlines the testing environments utilized for various LLMs. The LLMs are tested under three different downstream tasks: (1) fine...

adversarial-attacks fine-tuning guardrails jailbreaking quantization
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~hackernoon | Bookmarks (1871)

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