Knut Jägersberg @JagersbergKnut
Content Strategy & AI @[email protected] https://t.co/xnBUK02hWS linkedin.com/in/knut-jägers… Gronau, Germany Joined June 2018-
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Anyone wanna outsource LLM pretraining?
By using Parameter-Efficient Sparsity Crafting (PESC), this paper reduced the memory usage for the 8x34b model and made the 4bit size at 19gb, that's smaller than 4bit 8x7b mixtral. Paper - "Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction…
GPT "3.5" was the biggest psyop in AI – starting with the very labeling. In retrospect it's clear that the LLM behind ChatGPT had zero relation to the davinci 175B@500B series and was more like overtrained late 2023 models. But for a year+, we had to debate the Magic Of RLHF.
Compare Llama-3 and Phi-3 using RAG REALLY EASY lightning.ai/lightning-ai/s… @JagersbergKnut @chidambara09 @KevinClarity @enilev @EstelaMandela @RLDI_Lamy @Analytics_699 @_deus__machina @bimedotcom @AndrewinContact @HLStockenstrom @sulefati7 @sonu_monika @Khulood_Almani
Financial Market Applications of LLMs thegradient.pub/financial-mark… By Richard Dewey via @gradientpub #AI #GenAI #LLMs #Finance #SyntheticData #FinancialForecasting #Fintech #QuantitativeTrading #Residualization cc @jeanyvesgonin @mvollmer1 @sonu_monika @JagersbergKnut @EstelaMandela…
OpenAI_charity became OpenAI_biz (ClosedAI) when Microsoft paid $1billion in 2019-7. Here's copy of all 77 OpenAI_charity github repos I downloaded 2019-4-12 when heard about this. When was the change? humanai.net/anyRandomFiles… ipfs://QmRRfy5qxkapAew8yBVXSrGzUeX2TH4uzkkZtktHYSCidG
Quantization is quite harmful for LLaMA 3 than for LLaMA 2. This PR in llama cpp repo investigates it well. (Perplexity measures how well the model can predict the next token with lower values being better.) Most probable reason - lama 3 was trained for 15T tokens (biggest of…
Quantization is quite harmful for LLaMA 3 than for LLaMA 2. This PR in llama cpp repo investigates it well. (Perplexity measures how well the model can predict the next token with lower values being better.) Most probable reason - lama 3 was trained for 15T tokens (biggest of… https://t.co/poVKhU7Zey
Anyone having issues with the Llama-3 tokenizer? I've been fine-tuning with Vicuna and ChatML templates, with different learning rates. The models can't stop generating -- is this an issue that you're running into as well?
Be warned: I will continue the Cohere-command-r+ propaganda until the whole world has switched.
Another media partnership announcement from OpenAI, this time with the Financial Times. The FT was already an Enterprise customer, now they are a partner. The NYT increasingly stands alone.
Another media partnership announcement from OpenAI, this time with the Financial Times. The FT was already an Enterprise customer, now they are a partner. The NYT increasingly stands alone. https://t.co/x7XHcmEtDW
🐚 Code Less, Make More
🇮🇳 #India is set to outperform all countries in terms of GDP growth, followed by 🇨🇳#China and 🇸🇦#SaudiArabia 👏 🇸🇦من المتوقع أن تحتل #المملكة_العربية_السعودية في المرتبة الثالثة عالمياً بعد #الهند🇮🇳 و #الصين 🇨🇳من حيث نمو الناتج المحلي الإجمالي 👏 v/@finshots #economics…
Contributing datasets will be a top way to support machine learning in 2024. @Dorialexander and @ana_stasenko are providing some of the best examples of this kind of work via @pleiasfr, as demonstrated by how regularly their datasets trend on the Hub.
From community: RWKV-6 3B can be state-tuned to 99.2% LAMBADA, memorizing 400k+ tokens🧠 (only for testing capacity - it's training on test set). Method: check github.com/BlinkDL/RWKV-LM readme "State-tuning" part🚀#RWKV #RNN #LL
From community: RWKV-6 3B can be state-tuned to 99.2% LAMBADA, memorizing 400k+ tokens🧠 (only for testing capacity - it's training on test set). Method: check github.com/BlinkDL/RWKV-LM readme "State-tuning" part🚀#RWKV #RNN #LL https://t.co/pTwuSCUkwQ
Santiago @svpino
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353K Followers 444 Following I tell stories about technology and teach hard-core Machine Learning at https://t.co/iZifcK7n47. YouTube: https://t.co/pROi08OZYJFrançois Chollet @fchollet
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53K Followers 503 Following 🤖 ML Engineer 🔬 AI Educator 💻 I help you build AI skills through project-based learning ➡️ https://t.co/lC2UKMtRjjSwissCognitive, AI Ve.. @SwissCognitive
150K Followers 105K Following We are committed to unleashing the power of AI in the business world. With our AI research, advisory, and ventures, we bring a blend of expertise to the Table.AK @_akhaliq
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47 Followers 246 Following build something. anything. just build it to completion. (I am yelling at myself)PsyPost.org @PsyPost
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634 Followers 2K Following Free-Style Researcher 🔬 | https://t.co/pUquxRj02Y Newsletter 📰 | Meetup Organizer ☸️ 🤝 | Father 👨🍼 | Builder 💻Hammer Lab ML @HammerLabML
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12K Followers 6K Following Trainer turned Coach | Project Management Professional(PMP), Agile, Research Analyst | Fintech | aspiring Author | RT/Like != endorsing, Views own🇮🇳🇩🇪🇺🇸CIR Bundeswehr @cirbw
16K Followers 75 Following 🇩🇪 Offizieller Account der TSK Cyber- und Informationsraum der #Bundeswehr #CIRBw & ihres Inspekteurs (/#InspCIR) 🇩🇪 // Impressum: https://t.co/xWK6fpw3e1Greg Coppola @gregcoppola5d
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195 Followers 256 Following PhD @ChicagoHAI @UChicagoCS. NLP and machine reasoning.Adithya S K @adithya_s_k
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5K Followers 3K Following Vous ne pouvez pas décapité la liberté d'expression! 😎James Woo(吴健) @woojan87
127 Followers 2K Following Environmental Engineer 🌍 | Math & Science & AI & New Tech Enthusiast |Explorer at Heart | Curiosity-Driven 🚀Matthias Hölzl @MatthiasHoelzl
141 Followers 1K FollowingTeodora Pl @toolstelegraph
1K Followers 981 Following 🤖 | Implementing technology in Marketing 👩 💻 AI Enthusiast@theomitsa @JagersbergKnut @chidambara09 @KevinClarity @enilev @EstelaMandela @RLDI_Lamy @Analytics_699 @_deus__machina @bimedotcom @AndrewinContact @HLStockenstrom @sonu_monika @Khulood_Almani @sallyeaves @nikos_kafritsas @mikeflache The human brain remains the authentic source for LLMs 💡 Getting smarter? Time will tell💭
@JagersbergKnut @rohanpaul_ai @RealJosephus @JustinLin610 @huybery @far__el But it making it small loses all the benefits of having it be big, whats the point? Or do you mean to get us a mixtral 22b, even if we lose a lot of its capabilities
@JagersbergKnut @rohanpaul_ai @RealJosephus @JustinLin610 @huybery @far__el I'm a bit confused though because it doesn't seem much better than the dense singular Camel-34b 58% average score for the dense 34b version, vs 59.3% for the 39B sparsified? 8x34B MoE
As a child in #Romania, I vividly remember the soul-crushing queues for basic necessities like food. These weren't occasional inconveniences – they were a daily reality under Ceaușescu's regime. The chronic shortages stemmed from his relentless pursuit of debt repayment, a…
Food ration queue in communist Romania in the 80's. Monthly Ration: 3,25 kg of meat 6,5 liters of milk 13,8 kg of vegetables 1 kg of oil and sugar
Can people stop trying to make voice the singular interaction layer with technology it unironically sucks
By using Parameter-Efficient Sparsity Crafting (PESC), this paper reduced the memory usage for the 8x34b model and made the 4bit size at 19gb, that's smaller than 4bit 8x7b mixtral. Paper - "Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction…
"gpt2-chatbot" feels like gpt4 with a personality update to me.
Post a picture YOU took. Just a pic. No description.
GPT "3.5" was the biggest psyop in AI – starting with the very labeling. In retrospect it's clear that the LLM behind ChatGPT had zero relation to the davinci 175B@500B series and was more like overtrained late 2023 models. But for a year+, we had to debate the Magic Of RLHF.
Feeling proud to not be a california resident today lol
RAG in Healthcare 🚀 Last week, we went to Amsterdam to participate in the @Google Solve Hackathon, which focused on developing AI applications for healthcare and helping with the @prinsesmaximac mission: to cure every child with cancer with optimal quality of life. ❤️ The…
Did you know you can deploy @AIatMeta Llama 3 to @googlecloud with just a few clicks from @huggingface? Here’s how: 📄 Go to the Llama 3 Model Card 🔘 Click 'Deploy' 🌐 Select 'Google Cloud' ☁️ Get linked to Google Cloud Console 🛬 1-click deployment to Vertex AI And guess…
Compare Llama-3 and Phi-3 using RAG REALLY EASY lightning.ai/lightning-ai/s… @JagersbergKnut @chidambara09 @KevinClarity @enilev @EstelaMandela @RLDI_Lamy @Analytics_699 @_deus__machina @bimedotcom @AndrewinContact @HLStockenstrom @sulefati7 @sonu_monika @Khulood_Almani
As long as AI systems are trained to reproduce human-generated data (e.g. text) and have no search/planning/reasoning capability, performance will saturate below or around human level. Furthermore, the amount of trials needed to reach that level will be far larger than the…
Interesting how in all these domains AI is asymptoting at roughly human performance - where's the AI zooming past us to superintelligence that Kurzweil etc. predicted/feared?
@JagersbergKnut @chidambara09 @KevinClarity @enilev @EstelaMandela @RLDI_Lamy @Analytics_699 @_deus__machina @bimedotcom @AndrewinContact @HLStockenstrom @sulefati7 @sonu_monika @Khulood_Almani @sallyeaves @nikos_kafritsas @mikeflache
As long as AI systems are trained to reproduce human-generated data (e.g. text) and have no search/planning/reasoning capability, performance will saturate below or around human level. Furthermore, the amount of trials needed to reach that level will be far larger than the…
Imagine you launch a startup and the CEO of a major company tells thousands of employees to use it at least 20 times a day. It would be fantasy if it wasn't true for openAI.
Moderna's CEO wants employees to use ChatGPT at least 20 times a day @bimedotcom @Khulood_Almani @theomitsa @BetaMoroney @FmFrancoise @sulefati7 @enilev @sallyeaves @sonu_monika @TheAIObserverX qz.com/moderna-ceo-ch…