#WaveE #AI #Algorithm $450.00 / Monthly Lease $6,750.00 / 99-Year End-User License Supported Platforms: MultiCharts NinjaTrader TradeStation
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.NET Semantic Kernel has been updated to version 1.3.0. https://lnkd.in/gYKVMS7B Steady progress and great potential, especially if integrated with AutoGen. Worth checking out! #semantickernel #ai #autogen #microsoft #agent
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A week after the roll out of Gemini 1.0 Ultra, Google has introduced Gemini 1.5. Gemini 1.5 is built on Google's leading research on Transformer and MoE (Mixture of Experts) techniques and achieves performance close to the previous top model while using less compute. 1.5 Pro can prrocess 10 million tokens in one go, which includes 1h of video, 11h of audio, 30k lines of code and over 700k words. #gemini #googledeepmind #ai #machinelearning
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Which AI LLM is the fastest? Why is it so important? Human conversations are fast, typically around 200ms between turns, and we think LLMs should be just as quick. This site provides reliable measurements for the performance of popular models. TTFT: Time To First Token. This is how quickly the model can process the incoming request and begin to output text, and translates directly into how quickly the UI starts to update. Lower values = lower latency/faster performance. TPS: Tokens Per Second. This is how quickly the model can produce text and controls how quickly the full response shows up in the UI. Higher values = more throughput/faster performance. Total: The total time from the start of the request until the response is complete, i.e., the last token has been generated. Total time = TTFT + TPS * Tokens. Lower values = lower latency/faster performance. https://thefastest.ai/ https://sgp.ai #sgpai #ronaldsoh #winprosg #winpromy #winprosingapore #winpromalaysia
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How Did Companies Use Generative AI in 2023? Here’s a Look at Five Early Adopters Enterprises worldwide will have spent around $19.4 billion on generative AI solutions by the end of 2023, according to an estimate from International Data Corp. That spending—which includes generative AI software and related hardware plus IT and business services—will reach $151.1 billion by 2027, the research firm forecasts, translating into a compound annual growth rate of 86.1% over the four-year period. #ai #genai #artificialintelligence #machinelearning #deeplearning #dalle3 #gpt #gpt4 #palm2 #llm #llms #largelanguagemodels #upskill #upskillyourself #wallstreetjournal #2023year #dataanalytics https://lnkd.in/g-a_VQy7
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Believe it or not, this speed is real! 💨 Llama 3, powered by Groq’s LPUs, clocks in at 877 tokens per second on the 8B model variant—making it over 10 times faster than GPT-3.5. 🏎️ What's more? It offers great value, costing just $0.59 per million tokens on the 70B model. That's a tenth of the cost of GPT-4 Turbo while it nearly matches its performance! In short, the Llama 3 series so far has shown to: - Nearly matches GPT-4 in performance benchmarks. - Be significantly more budget-friendly. - Be able to outpace leading AI models in speed. For businesses, this means quicker, more affordable AI capabilities without sacrificing quality. This expands the horizon of potential AI use cases!
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The AI revolution won't slow down! We've just launched Gemini 1.5, and I'm so proud of it. Gemini 1.5 Pro delivers efficiency and power: cutting-edge performance comparable to Gemini Ultra, but with reduced computational needs. Plus, a landmark achievement in context processing – up to 1 𝐌𝐢𝐥𝐥𝐢𝐨𝐧 tokens! Yes, you read it right, 𝐎𝐧𝐞 𝐌𝐢𝐥𝐥𝐢𝐨𝐧 tokens!! #AI #Innovation #LargeLanguageModels
Our next-generation model: Gemini 1.5
blog.google
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Phi-3, boasting only 3.8 billion parameters and trained on 3.3 trillion tokens, packs a powerful punch. Despite its compact size, it matches the performance of much larger models like Mixtral 8x7B and GPT-3.5. Even more impressive? It's small enough to run on your phone! 📱 What's the secret sauce? Quality over quantity! Phi-3's training data is meticulously curated, featuring heavily filtered web data and synthetic inputs. But the innovation doesn't stop there. Phi-3 comes in various sizes, including the mini-128K model, catering to different needs and contexts. Join me in celebrating the future of AI: small, efficient, and mighty! 🌟 #AI #LanguageModels #MicrosoftPhi3 #Innovation #FutureTech
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automatic trading | Start AI trading quickly with an average profit of 400,000 won per hour
자동매매 | 1시간에 평균 40만원 수익 AI매매 빨리 시작하세요
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🌟 Introducing Google Gemini 1.5 Flash! ⚡🤖 Demis Hassabis, CEO of Google DeepMind, has unveiled the latest iteration of the powerful Gemini AI model: Gemini 1.5 Flash. This optimized version is designed to be lightning fast, cost-effective, and incredibly efficient with a token window of 1 million. Key Capabilities: ⚡ Lightning Fast: Experience unparalleled speed and performance. 💸 Cost-Effective: Optimized for budget-friendly AI solutions. 📊 1 Million Token Window: Handles extensive data processing with ease. Performance: 🚀 Enhanced Efficiency: Delivers superior results in a fraction of the time. 🧠 Advanced AI: Improved algorithms for better accuracy and reliability. Pricing: 💲 Affordable Plans: Various pricing tiers to suit different needs and budgets. Discover how Gemini 1.5 Flash can revolutionize your AI projects with its unmatched speed and efficiency. See here - https://lnkd.in/egzD83qa #GoogleGemini #Gemini15Flash #AI #DeepMind #DemisHassabis #TechInnovation #AIPerformance #CostEffectiveAI #AIModel #FutureTech #Innovation
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The most fascinating part about the AI revolution unfolding is the staggering pace of innovation. Today Google welcomes to the world it's next generational model Gemini 1.5! Capable of processing almost 1million tokens in production. Read more here: This means 1.5 Pro can process vast amounts of information in one go — including 1 hour of video, 11 hours of audio, codebases with over 30,000 lines of code or over 700,000 words. How are you reimagining your business with AI? #google #ai #gemini https://lnkd.in/eZ_VfKUK
Our next-generation model: Gemini 1.5
blog.google
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