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SnowRunner is available on Nintendo Switch 2! ❄️ ✅ Free Upgrade for Digital Edition owners 💾Save transfer via Nintendo Account 👥 Up to 4-player co-op 🌐 Crossplay soon 🎮 Better visuals & performance 🛠️ Modding support 📦 Year Passes & DLCs available
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Are your swords oiled up and sharpened? Potions brewed? Roach saddled? It’s time to face Eredin and his entourage once again! The Witcher 3: Wild Hunt – Remastered features an array of improvements, bringing upgrades to visuals, gameplay, and more. It's coming on September 29 and will be available as a free upgrade to all owners of the game on GOG, Steam, Epic Games Store, PlayStation 5, and Xbox Series X|S. It is also available for pre-purchase on and Nintendo Switch 2. That’s not all, though! All current owners of the base game will gain access to the two original expansions – Hearts of Stone and Blood and Wine – for free! Both of these expansions will also be included in #TheWitcher3Remastered base game! Learn more here:
The Witcher
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![We made a thing! Very happy to announce sqlcoder-pro and the Defog Alignment Platform. Available to use immediately without a wait-list, weights will be open-sourced very soon. The video does a quick show and tell comparison against ChatGPT (with gpt-4o). Read on for more details! TLDR 💪 equal (or better) performance on text-to-SQL as the most capable Claude-3.5 or GPT-4 models 🤝 You can use it today on a free plan/free trial, without a waitlist 🪽 self-hostable on a single RTX4090, with 2 second median generation times for SQL queries 🔁 exactly the same output every time, give the same prompt 👨🏻🏫 teachable and steerable: show the model what you want it to do 🛞 debuggable – you can understand WTF is going on inside the model, instead of treating it like a black box Let's dig into each of these one-by-one! Performance SQLCoder-8b-pro significantly exceeds the performance of our previous sqlcoder-8b model on Postgres text-to-SQL (from 88.2% to 90.2% accuracy - gpt-4o is at 87.6%, for reference). It is also better at following instructions. This was done via self-merges, hand crafted fine-tuning data, and adapting the training data to fit our tokenizer. Cost You can host this on the model on a single $3,500 RTX4090, and support ~5 requests/second via VLLM. If you're looking to host on the cloud instead, you can run it on a single L4 GPU that costs $300/mo on GCP Repeatability We have a dense 8b model with no MoE shenanigans. For the same prompt with temperature=0, you'll always get the same answer – which is critical in BI. Teachable In our alignment and feedback modes, you can give the model feedback on how it answered certain questions, and it will automatically adapt to the feedback. Debuggable You can use logprobs and attention scores to determine where, exactly is the model paying attention to inside a prompt + what it's getting confused by when generating outputs. Available today You can use Defog on the cloud today by going to docs[dot]defog[dot]ai, and getting an API key. Excited to hear what you think!](https://image.24vids.com/tw-1825943270935113842/ext_tw_video_thumb/1825942610525220864/pu/img/qmpqqvd_3KNdJDGd.jpg)
