FlashIntel

As the market for LLMs becomes increasingly crowded, the true battleground shifts to how these models are deployed and integrated into real-world applications. Read more: https://hubs.li/Q03bJ8590 Post written by Yi Shi, Forbes Councils Member.

At FlashIntel, we're creating agentic AI systems that can plan and automate tasks. It's not easy to make these systems work well in areas like sales and customer service, but we are making significant progress! https://lnkd.in/g54WS4R2

Some thoughts on how LLMs could build moat

Hey Everyone, I'm super excited to launch a new Video Series for FlashIntel where I'll be sharing an insider's view of how we're revolutionizing sales; packed with game-changing insights, knowledge, and recipes you can use to increase revenue today. Some key items I'll be covering: ? Feature Updates: Stay ahead with the latest FlashIntel innovations, built to eliminate bottlenecks and drive revenue growth. ? Proven Playbooks & Recipes: Drop “Recipe” in the comments, and we’ll send you the exact strategies that 10x’d our revenue in 2024 ? Expert Insights: We’re sitting down with top sales minds to uncover real tactics, not fluff - because sales isn’t about theory, it’s about results ?? Want in? ?? Hit Follow to stay updated ?? Check us out on G2 to see what users are saying! ?? Comment “Consult” for a free 1:1 sales consultation - we’ll break down your motion and optimize it for growth ??? Book a meeting to start your free trial ? See you in the next one! FlashIntel Website: ?? https://www.flashintel.ai/ Feature Updates: ?? https://lnkd.in/d2Y4Ah_j G2 Reviews & Features: ?? Reviews: https://lnkd.in/dBSJNAD8 ?? Features: https://lnkd.in/dYaR23dJ Book a Demo: ?? https://lnkd.in/de9vpc7r #SalesAcceleration #AIforSales #SalesIntelligence #B2BSales #RevOps #OutboundSales #SalesEngagement #SalesTech #SalesEnablement #LeadGeneration #B2BMarketing #PipelineGrowth #ColdOutreach #SalesPlaybook #SalesAutomation #RevenueGrowth #SalesLeadership #FlashIntel #PredictableRevenue #FutureOfSales #SellSmarter #Dialer #Sequencing #Campaign #Sales

B2B sales is changing fast, with new products and categories popping up all the time. But there’s still a big gap—no AI SDR platform or sales engagement tool truly solves the challenges of the current sales teams. Here’s what’s missing: ? No AI SDR platform supports true multi-channel engagement. ? No sales engagement platform integrates AI SDRs or automated workflows effectively. ? Companies have existing SDR teams but want to experiment with AI SDRs don't want to disrupt their current structure. ? AI SDRs today are mostly email-based, operating like a marketing function rather than a true SDR. ? Human reps are still crucial, especially in call-heavy sales use cases. That’s why we're expanding FlashRev with new features—combining everything into a seamless, AI-native experience. ?? Multi-channel AI SDR capabilities ?? AI + Human Collaboration where it makes the most impact ?? A user experience built for high adoption, with minimized time-to-value as our key product metric It takes deep engineering, industry expertise, and innovations with AI to get this right—but we’re making it happen. Excited for what’s ahead! ??

Many people have asked for my thoughts on DeepSeek AI. As I know some of the core folks involved across Silicon Valley, China, AI, and quant, here’s my quick take: 1. Strong Engineer-First Culture DeepSeek was bootstrapped in 2023 and quickly gained recognition by replicating large-model techniques. With limited resources, they concentrate on core breakthroughs (like reasoning) rather than trying to tackle everything at once. Their engineering and research teams primarily hail from top Chinese universities, often with limited work experience. 2. Resource Efficiency They’re known for innovative strategies to reduce GPU usage and training costs—an essential skill in quant, where efficient feature engineering and model development are key to alpha generation. Rather than brute-forcing with massive compute, they prioritize high-quality data and targeted fine-tuning. 3. Minimal SFT (Supervised Fine-Tuning) They have shown that robust reasoning can emerge with relatively little supervised data. They leverage a strong base model to generate data and then apply focused SFT to achieve impressive results. 4. Distillation: Short-Term Gains, Long-Term Trade-Offs Distilling large models into smaller ones yields solid performance boosts. However, it may cap the model’s overall potential if genuinely new architectures aren’t explored. 5. Open Source vs. Closed Source DeepSeek’s open releases show that smaller teams can still innovate at a high level. That pressures proprietary models to justify their high cost and massive resource usage. 6. Implications for Builders & 2025 Expect more architectural diversity beyond transformers and advanced RL/agent applications. Many companies will opt for cost-efficient models (achieving 90–95% of state-of-the-art performance at less than 10% of the cost) for real-world products rather than continually chasing ever-larger, more resource-intensive SOTA models. Bottom Line DeepSeek proves you don’t always need massive GPU farms to make large language models shine. The core drivers of AGI—data, architecture, and compute—are showing diminishing returns from brute-force scaling, so we can anticipate more innovation in architectures and data synthesis. This may reduce NVIDIA’s training-centric advantage (as demand shifts toward inference), but it will likely accelerate overall AGI adoption—an instance of the Jevons Paradox in action.

Listed by The Silicon Review under January Special 2025 | FlashIntel Founder Yi Shi: “We are building a system of AI agents to liberate 10 million jobs and redefine work.” https://lnkd.in/gHYeZdTk #SiliconReview #FlashIntel #YiShi #AIagents #JobLiberation #RedefiningWork #Innovation #FutureOfWork #TechLeadership #JanuarySpecial2025

We’re excited to share that Entrepreneur Media has featured our founder, Yi Shi, in their latest article about the transformative potential of Agentic AI. At FlashIntel, we believe AI isn’t just a buzzword—it’s the foundation of the future workforce. With FlashRev and FlashAI, we’re helping businesses easily create and manage AI agents that: ? Simplify complexity with intuitive, user-friendly tools. ? Engage across omnichannel platforms—email, phone, LinkedIn, and chat. ? Deliver measurable outcomes, from more pipeline to higher efficiency. We’re building more than tools; we’re creating a scalable, intelligent workforce that empowers companies to achieve their goals faster and smarter. What’s your take on Agentic AI’s role in reshaping the future of work? Let us know! ?? Read the full article: https://lnkd.in/gwQxV8h8 #AgenticAI #FlashRev #FlashAI #FutureOfWork #DigitalTransformation #Entrepreneur #AIInnovation

Grateful to Entrepreneur Media for featuring my vision for the future of Agentic AI in their latest article. At FlashIntel, we’re not just building products—we’re reimagining how work gets done. With the products we build at FlashIntel, I wanted to solve a critical problem: how can businesses deploy AI and LLM that truly drives results and creates real value —more pipeline, more bottom line— without the complexity? Here’s the vision: 1. Effortless AI Agent Creation: Built effortlessly to handle sales outreach, customer support, or any task you define. 2. Omnichannel Reach: Engage where your customers are—email, phone, LinkedIn, chat, and beyond. 3. Outcome-Focused: These agents don’t just act; they deliver measurable business growth. Agentic AI shouldn’t just be another buzzword. It needs to be simple, user-friendly, and deliver real business results. In the future, AI startups will work more like HR teams, managing and growing AI agents to take on a variety of roles. ?? Read the Entrepreneur interview here: https://lnkd.in/gEjDKyZt #AI #FlashRev #FlashAI #DigitalTransformation #FutureOfWork #Entrepreneur #TechInnovation

Some thoughts on Agentic Computing ?? Agentic computing is the next big thing—AI agents that act, solve, and deliver results autonomously. Big players like Microsoft and Salesforce are diving in, targeting enterprise workflows with massive resources. But here’s where startups have an edge: - Focus on SMBs: SMBs are exploding, and they need simple, automated AI solutions. Think tools that bring enterprise-grade sales strategies to small businesses without the complexity. - Vertical Deep Dives: Healthcare, legal, and other industries are ripe for tailored AI solutions. Startups that go niche can win big by solving specific problems better than generic platforms. - Plug-and-Play Simplicity: Enterprises don’t want integration headaches and change management. Startups can outpace incumbents by offering modular, easy-to-deploy tools that work seamlessly and autonomously. - Disrupt Pricing Models: Agentic computing is projected to hit $150 billion by 2028, potentially replacing up to 44% of enterprise labor. This opens the door for outcome-based pricing models—charging for results rather than licenses. Startups can disrupt incumbents clinging to outdated license-based pricing. The market’s growing fast, and it’s not a zero-sum game. Startups with speed, focus, and creativity can carve out big wins.