Mainak Sarkar’s Post

I'm excited to share my latest video on "Qwen-2 Outperforms LLaMA-3: New LLM Performance Comparison" Qwen-2 also represents a significant improvement in LLM capabilities, enhancing multilingual, coding, and mathematical performance. Check it out here: https://lnkd.in/g_QUuByG Don't miss out! Like, comment, and share to spread the word! Let's revolutionize human-machine interaction together! Please do subscribe to my channel to learn more about AI. #LLM #Qwen2 #LLaMA3 #ArtificialIntelligence #TechInnovation #PerformanceBenchMarks #AI

📘 Configuring and Using the LLM Prompt Component in SmythOS: A Complete Guide The LLM Prompt component in SmythOS is revolutionizing how we generate content through AI. Here's a comprehensive breakdown of its capabilities: 🔧 Model Configuration • Default Models: Full OpenAI suite (GPT 3.5, GPT 4) • Custom Models: Seamless integration with Together AI and Claude AI • API Integration: Bring your own keys for maximum flexibility ⚙️ Prompt Settings & Controls • Dynamic prompt configuration with input variables • Temperature control (default: 1) • Top P settings for response breadth • Maximum output tokens customization • Stop sequence definition • Frequency and presence penalties for reduced repetition 🚀 Advanced Customization Options Create custom models with: • Amazon's Bedrock • Google's Vertex AI • Full machine learning feature customization • Credential management options 💡 Practical Implementation Example: Generating Personalized Emails: 1. Configure name and email inputs 2. Set up detailed Sales department prompts 3. Utilize debug mode for JSON output review 4. Implement expressions for content sectioning 🔗 Essential Resources: Documentation: https://lnkd.in/eu2SvfNH Training: https://lnkd.in/eCehmk4K Community Support: Join our Discord at discord.gg/smythos For developers seeking robust language modeling integration, the LLM Prompt component offers unparalleled configurability and extensive customization support.

So yes, it's good to know what the hype is about and moreover know it's limitations and also what real life applications it can have. Terms like hallucinations and human touch reveal the importance of not blindly accepting the outcomes of LLM's but having the expertise to distinguish between what is true or not. My team actively uses LLM's and frequently encounter instance where hallucinations occur but look so credible that it even puts there knowledge to test. For our younger generations (Alpha) who will grow up with this as the go to tool it will be even more important to be critical thinkers and hopefully not end up with biased answers that will make their vision of the world be obfuscated. Interesting times! good to know how these things tick

Model Drift is a problem that has plagued predictive AI models since their inception. LLM models in their current form are a very new addition to the AI family (current form being multi billion and even trillion parameter behemoths). Model Drift occurred in models with smaller parameters. Is it more or less likely to occur in larger parameter models? Is a lot of the talk that crops up all of the time about 'X model sucks now compared to upon release' actually with merit? If it is all made up, why does it keep happening? To me, this is an interesting phenomenon overall. It raises a lot of interesting questions, and LLM models do not seem immune to it. I think there is a lot of corporate hopium involved in ignoring this issue and pretending like it could not possibly exist, which is why I think it is not discussed more. I dive a bit more into this topic in this video: https://lnkd.in/gB5TTZhG

Exploring Generative AI solutions for B2C is Christopher Lennan’s forte and passion. At our applydata summit, the Lead Machine Learning Engineer at idealo gave the curious attendees insights on converting data into useful, innovative business strategies. At the same time, he managed to make this topic understandable for everyone in the audience.⚖️ To learn more about how Christopher Lennan put LLMs into production, check out the video below and dive with him into the analysis of user needs. https://lnkd.in/d3cs6edi #applydatasummit #datasummit #ML #MachineLearning #LLM #keynote 

Remember the heady days when the LLM was going to be a single thing? When the hype was that all you needed was an LLM and a prompt and the world was your oyster. Well now we know that that LLMs require a team to be successful, from prompt optimization to the specific LLM and tuning the RAG to that LLM to having the metrics and evaluations to be able to identify what LLMs are working best on which use cases. This is why Mark Oost, Weiwei Feng and Bikash Dash are building RAISE, and enabling it on every hyperscaler platform. Listening to Mark and Anne Laure Thibaud (Thieullent) present this last week and the questions that came afterwards, its clear that "team management" around the LLM is a real critical success factor on GenAI. Myriam Chave, Eric REICH #GenAI #AI #GenAIOps #LLM #RAG #AIFinOps #FinOps

In this article, Nikita Kiselov shows how to build custom LLM evaluators for specific real-world needs:

LLM accuary improvement is not so easy. We can do the automation easily with the help AI. Indeed, AI is doing a lot, but will do much more. Like bank system which needs the highest accurate automation, LLM accuracy is the most important. Let's dive into the AI world.

🚀 Exciting Update - Google’s groundbreaking AI model, Gemma 2 is here!!🌟 Discover how Gemma 2 sets a new standard for efficiency and performance, running seamlessly on a single GPU while delivering exceptional results. 💡 Learn about the redesigned architecture that ensures unmatched cost savings and lightning-fast inference across various hardware setups. 🔥 Plus, delve into Google's commitment to responsible AI development with tools like the Responsible Generative AI Toolkit and SynthID for text watermarking. 🛠️ 📺 Watch now to see how Gemma 2 can revolutionize your AI projects: https://lnkd.in/ddnBFxiw 💬 Join the Conversation: Share your thoughts on Gemma 2 in the comments below. What models have you used and how have they benefited your projects? For more tech insights and updates, make sure to check out my other videos Let's continue to explore the digital world together! 🌐 #GCP #GoogleCloud #AI #MachineLearning #Gemma2 #ResponsibleAI #Innovation #TechNews #AIDevelopment #CloudComputing #EthicalAI

Quick Look into evaluation of your LLM/RAG/Agent pipeline for specific business needs 🚀