Top 10 Open source AI GitHub page 2024
These 10 projects, developers, and companies represent the bedrock for innovation—where open source AI leads the way.
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HuggingFace: Tokenizer Arena, AutoQuizzer, PaliGemma
In this post, we’ll explore three cutting-edge tools that are making waves in the AI and machine learning community. First, dive into the Tokenizer Arena on HuggingFace, where you can compare and visualize tokenization processes across models like GPT-4, Phi-3, and Grok. This tool offers a unique insight into token counts, token IDs, and attention mechanisms, with bar plot comparisons that help you understand how different models handle text input. Next, discover AutoQuizzer, a space that automatically generates quizzes from any URL, allowing you to test your knowledge or let an LLM do the quiz for you, with options for both web browsing and “closed book” evaluations. Finally, explore PaliGemma, Google’s new open vision-language model, fine-tuned on a variety of tasks like question answering and image captioning. You can interact with these models directly, experimenting with text or image inputs. These tools provide powerful ways to engage with and understand the capabilities of today’s most advanced AI models.
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Deep dive: Llama3 from scratch, LinearBoost, LoRA Learns and Forgets Less
In this post, we’ll explore three groundbreaking advancements that are pushing the boundaries of AI and machine learning. First, dive into the intricacies of LLaMa 3, implemented from scratch in Python, where every aspect, from attention mechanisms to tokenization, is meticulously explained, making it a must-see for anyone interested in model architecture. Next, discover how LinearBoost, a new linear classifier-based algorithm, outperforms traditional GBDTs like CatBoost and XGBoost, showcasing superior accuracy and response time across five benchmark datasets. Lastly, we’ll delve into the debate on Low-Rank Adaptation (LoRA) in fine-tuning large language models, revealing why LoRA might not match full fine-tuning in specialized domains but offers remarkable regularization benefits. These insights are not only educational but also essential for staying at the forefront of AI research and application.
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Google project Astra, Veo, 2M token Gemini
The latest Google I/O conference was packed with exciting AI innovations! Dive into the details of Veo, Google DeepMind’s advanced
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Inference-Time Scaling vs training compute
We’re seeing a new paradigm where scaling during inference takes the lead, shifting focus from training huge models to smarter, more efficient reasoning. As Sutton said in the Bitter Lesson, scaling compute boils down to learning and search—and now it’s time to prioritize search.
The power of running multiple strategies, like Monte Carlo Tree Search, shows that smaller models can still achieve breakthrough performance by leveraging inference compute rather than just packing in more parameters. The trade-off? Latency and compute power—but the rewards are clear.
Read more about OpenAI O1 Strawberry model #AI #MachineLearning #InferenceTime #OpenAI #Strawberry
Technow: Phi-3, Open LLM IoS app, Mini-Gemini, LLaMa-Factory
Microsoft is shaking things up with Phi-3, a series of open-source large language models (LLMs) designed for accessibility and performance. Available in mini, small, and medium sizes, these models run efficiently on both mobile devices and PCs. Let’s explore what makes Phi-3 unique!
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Attract smart people to work in your AI startup
In the competitive landscape of tech startups, attracting smart and talented individuals is crucial for success. This guide provides actionable steps to make your startup appealing to top talent, with a focus on SAAS and tech companies facing challenges with AI advancements and developer costs.
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Fine-tune Llama 3 with PyTorch FSDP and Q-Lora
In this post, we will cover how to fine-tune Llama 3 70B with PyTorch FSDP, Q-Lora, and Flash Attention 2 (SDPA) using Hugging Face build for consumer-size GPUs (4x 24GB).
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Technow: Databricks Open LLM, OpenAI voice clone, Devika
AI advances reshape technology, with DBRX by Databricks leading in language and coding benchmarks, OpenAI’s Voice Engine creating lifelike synthetic voices, and Devika offering open-source coding assistance. These innovations are setting new standards in user experience, efficiency, and ethical discussions, signaling a future of seamless human-computer interaction.
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The World’s Best Open-Source 7B LLM
You can now get ChatGPT and Grok-level AI locally? OpenChat just released the world’s best open-source 7B LLM, surpassing Grok0,
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