🤖 opensquilla — Token-Efficient AI Agent New open source Python AI agent optimized for token efficiency. Reduces inference costs and runtime overhead for production agent deployments. github.com/OpenSquilla/opens… #AI #Agents #OpenSourceModels #Inference

be like PewDiePie Buy a GPU - built a 10x GPU AI Server (8x modded 48GB 4090s, 2x RTX 4000 Ada) - runs opensourcemodels with vLLM for TP - vibe-coded his own Chat UI, including RAG, DeepResearch, and TTS - is fine-tuning his own model

everyone: - “just use the API” PewDiePie: - built a 10x GPU AI Server (8x modded 48GB 4090s, 2x RTX 4000 Ada) - runs opensourcemodels with vLLM for TP - vibe-coded his own Chat UI, including RAG, DeepResearch, and TTS - is fine-tuning his own model be like PewDiePie Buy a GPU

The future of AI isn’t text-to-text — it’s any-to-any. Ming-Flash-Omni-Preview represents a significant step toward unified multimodal intelligence, built on a 103B-parameter, A9B sparse Mixture-of-Experts (MoE) architecture. 1. One model, all modalities — seamlessly bridges language, vision, and sound for natural cross-domain understanding and generation. 2. Controllable image generation — introduces Generative Segmentation-as-Editing, enabling precise, pixel-level control for image synthesis and editing (achieving 0.90 GenEval). 3. Streaming video understanding — enhanced temporal and audio-visual comprehension with strong context retention. 4. Dialect-aware ASR — reaches state-of-the-art performance across Chinese dialects including Hunanese, Cantonese, and Minnanese. 5. Unified perception and generation — bringing understanding and creation together within one efficient multimodal framework. What stands out to me about Ming-Flash-Omni-Preview isn’t just the benchmarks — it’s the engineering choices. The Dual-Balanced Routing in its sparse MoE is a clever solution to one of the toughest challenges in multimodal scaling: maintaining balanced expert activation across text, vision, and audio, without overfitting to any single domain. Meanwhile, the Generative Segmentation-as-Editing approach feels like a genuine conceptual shift — unifying segmentation and generation into one controllable, interactive process. A new stage of open-source multimodal intelligence is emerging — where one model can truly see, hear, and create in every direction. #AI #Multimodal #OpenSourceModels #GenerativeAI #ASR

The ISPOR Open Source Models Special Interest Group recently published "Mapping the Landscape of Open Source Health Economic Models: A Systematic Database Review and Analysis" in Value in Health. Read the full report here: ow.ly/5cQz50WTrBK #ValueInHealth #OpenSourceModels

🔐 Data privacy in AI doesn’t have to be a tradeoff—it can be built-in. OpenGradient brings end-to-end data security to AI applications by anchoring the entire lifecycle directly on-chain: 🧩 No off-chain processing From pre-processing → model inference → post-processing, every step can happen inside smart contracts. No data leakage. No third-party servers. 🕵️‍♂️ Zero trust required OpenGradient removes the need to trust centralized hosts or model APIs. Everything runs inside a permissionless, verifiable compute environment. 🔒 Private-by-design Whether you're deploying LLM agents or composable AI pipelines, the system ensures input and output are both cryptographically protected. 🔄 Verifiability All model calls and execution logic are transparent and auditable by anyone. It’s not just secure—it’s provable. With OpenGradient, developers can finally build AI products that respect privacy and decentralization by default. → Explore: docs.opengradient.ai/ → Try it: hub.opengradient.ai/ The future of AI is transparent, private, and trustless. @OpenGradient @BitQuantAI #AIPrivacy #TrustlessAI #OnChainML #DePIN #SmartContracts #DecentralizedAI #OpenSourceModels #web3explorers #crypto #OnchainCulture #NFTCommunity #Web3Art #CryptoCreatives #OROdrop #Web3 #DeFi #Crypto #NFT #CryptoTikTok #CryptoYouTube #Web3Арт #КриптоТворчество #КриптоТикТок #КриптоЮтуб #CryptoNews #Bitcoin #Ethereum #Solana #CryptoTrading #CryptoEducation #Blockchain #Altcoins #Metaverse #BullRun

1️⃣Every AI model is only as good as the data behind it. 2️⃣OpenLedger’s Node architecture ensures that data quality is transparent, decentralized, and contributor-owned. 3️⃣This is AI built on trustless data supply chains. #FutureOfAI #OpenSourceModels

Not all AI should be built in a vacuum. At @OpenledgerHQ , we believe the best models are shaped by real-world needs not corporate agendas. This scene captures that vision: a living coral map where contributors from all backgrounds come together to solve problems in healthcare, finance, energy, and more. Each glowing connection represents an open-source model built collaboratively, transparently, and with purpose. OpenLedger gives everyone the tools to design solutions that matter-tools that are open, modular, and made to be shared. Because the future of AI isn’t centralized. It’s community driven. Start building where it matters: testnet.openledger.xyz/?refe… @cookiedotfun #OpenLedger #AIForGood #DecentralizedAI #OwnYourAI #Web3Education #OpenSourceModels #CommunityTech #TransparentAI #BlockchainExplained

💥 Prompt engineering in production is dead. It’s time to train your model to do what you actually want. Reinforcement Fine-Tuning (RFT) on Predibase is the best way to shape open-source LLMs with just a handful of examples. 🧠 Fine-tune behaviors using custom reward functions ⚡ Train smarter with GRPO 🧩 Instantly serve multiple fine-tuned variants with LoRAX ☁️ All on fully managed infra — no GPU headaches Don’t just guess what your model might do. Tell it what should happen — and make it learn. 🚨 Join our webinar on Thursday to see RFT in action! go.predibase.com/introducing… #RFT #LoRA #LLMops #OpenSourceModels #Inference #MLInfra #GenAI #Predibase #FineTuningRevolution

The September issue of PharmacoEconomics Open includes several articles that contribute to the journal's collections on #OpenSourceModels and #Protocols. We welcome more submissions to these open/ongoing collections. link.springer.com/journal/41… #HEOR

Mastering AI in 2024: Big Tech Giants #StartupsVsBigTech #MicrosoftAI #MetaLama #GoogleGemini #AIAdvancements #OpenSourceModels #TechIndustryInsights #NavigatingCompetition #StayAhead

Check out the final issue of PharmacoEconomics Open for 2023, which includes articles from our collections on #OpenSourceModels and #Protocols. link.springer.com/journal/41…

SoT: Microsoft and Tsinghua's Innovation to Accelerate Large Language Models #AI #AItechnology #answerquality #APIbasedmodels #artificialintelligence #GPT4 #Largelanguagemodels #LLaMA #llm #LLMoptimization #machinelearning #Microsoft #opensourcemodels multiplatform.ai/sot-microso…

#MeetTheTeam University of Ljubljana will map the current status on #multienergysystems, enhance the PandaProSumer tool, create specific #opensourcemodels for #heatpumps & #CHP systems and conduct analyses for Ljubljana use cases 🔴Check #SenergyNETS here bit.ly/SnETS

AI 🤖 that helps fight Climate Change 🌲 Hugging Face, a repository of open-source models, has partnered with IBM and NASA to offer an AI-powered geospatial model for Earth observations. This model, called IBM's watsonx.ai geospatial foundation, leverages NASA's satellite and remote sensing data to track deforestation, predict crop yields, and monitor greenhouse gases. By making the model open-source and available on Hugging Face, IBM and NASA aim to encourage collaboration and open science in addressing environmental challenges. The model has shown a 15% improvement over previous models and can speed up geospatial analysis while reducing the need for extensive data cleaning and labeling. The collaboration seeks to promote the use of foundation models to better understand and address climate change. #ai #artificialintelligence #earth #climate #climatechange #tech #technology #science #geospatialai #opensourcemodels #sustainabletech #earthobservation #environment #nasa #ibm #data #analytics #greenhousegas #aiinnovation #techforgood

The latest issue of PharmacoEconomics Open #OpenSourceModels #HTA #DrugPricing #EconomicEvaluation #HealthEconomics link.springer.com/journal/41…

Revolutionizing Social Science Research: Harnessing the Power of AI #AI #artificialintelligence #Datacollection #guidelines #llm #machinelearning #opensourcemodels #researchgeneralizability #Science #simulatehumanlikeresponses #socialscienceresearch multiplatform.ai/revolutioni…

Revolutionizing Planetary Defense: UCSB's AI-Powered Initiative with NVIDIA RTX (Video) #AI #artificialintelligence #GPUmemory #llm #machinelearning #Military #NVIDIARTXA6000graphicscard #opensourcemodels #planetarydefense #ProfessorPhilipLubin multiplatform.ai/revolutioni…

Mark Zuckerberg: Meta Embeds AI in All Products #AI #artificialintelligence #Chatbots #integrateAI #Investment #llm #machinelearning #MarkZuckerberg #Metamateproductivityassistant #Metaverse #opensourcemodels #photomodifications #SocialNetworks multiplatform.ai/mark-zucker…

Are you interested in #OpenSourceModels and a member of @ISPORorg? If so, then join our Special Interest Group! ispor.org/member-groups/spec… (see the button at the bottom of the page) @RayHen66 @ChrisSampson87 @Ramesh2417 @newsvava