Vishwas Lele

Responding to government RFPs is complex and time-consuming - could large language models simplify the process? @vlele talks on .NET Rocks at dotnetrocks.com/details/1908 about his new startup company building a copilot for this challenging task - and the potential it represents!

@SarahChieng @AndrewYNg @isafulf @metaphorsystems Thanks @SarahChieng your summary is very helpful. Job and task guidance makes a lot of sense. Using reasoning engine capabilities to automate a few tasks within a "job" is powerful. I created this 10 minute video example of automating one such task linkedin.com/posts/appliedi…

I compiled a ~5 min read of @andrewyng and @isafulf's 2.5 hour "Application Development using Large Language Models" talk at NeurIPS! It was super cool to attend with @metaphorsystems and I managed to get a spot by showing up very very early! 😛 Some things it covers: > LLM basics // steps to create an LLM > Supercharging with RAG > Prompt Engineering Best Practices + Tricks > Tips from the field for developers Also, shoutout to @swyx, @jerryjliu0, @brianryhuang, and @scikud for their contributions. 🙌 As per usual, love and appreciate any feedback or video/folk recommendations. This is all a learning process for me as well :) ❤️ full doc: mphr.notion.site/Application-De…

@AndrewYNg @isafulf Is there a recording of the session available please? Thanks!

At the NeurIPS tutorial that @isafulf and I presented on Application Development using LLMs, it was great to see the enthusiasm for all the new AI apps now possible. Thanks also to @anbarth @tatsu_hashimoto @merrierm @gneubig for being on our panel, and to everyone that came!

How do we put large language models to work? #dotNETRocks and @vlele give us cautionary tales and ideas on using LLMs focusing on specific data sets for building LLMs and how size matters. 🦻 msft.it/6019iuJIX

The challenge of building apps utilizing large language models is the size of the data set. @vlele talks on DotNetRocks at dotnetrocks.com/details/1874 about how complexity grows exponentially as your data gets bigger!

#live360 Join me at 1:00 PM today for not just a presentation but a crucial discussion on a nascent topic concerning many developers. #GenAI won't make #Azure developers obsolete. However, those who harness #GenAI will gain a significant advantage over those who don't! 💡

@CsharpCorner @noopman @CSharpDotTV Thanks @noopman @CsharpCorner for the invitation to the show. I enjoyed the conversation with Magnus!

We are going live in 30 minutes with @noopman & @vlele for the next episode of "The Cloud Show with Magnus Mårtensson" live show. Tune in for an insightful discussion on Cloud!!! Live streaming here>> csharp.tv #TheCloudShow #cloudcomputing #Cloud #CSharpTV #liveshow #CloudShow #CSharpCorner

@AzurePodcast episode #466 Great show. BTW, Semantic search in cognitive search is about using the LLMs to promote the most semantically relevant results ( different from vector / cosine similarity search). #azure

New LinkedIn Learning Course on Managing and Governing Hybrid Environments with Azure Arc. In this course, @vlele covers the fundamentals of hybrid computing, Azure Arc, and resource types hosted outside of Azure that can be managed with Azure Arc: okt.to/PH1Ksy

Repatriation refers to shifting workloads from the cloud back to on-premises operations; however, there's no substantive evidence to suggest that repatriation is happening on a large scale. Read the full article from @vlele: okt.to/tObP14

We’ve been waiting for this moment and now we can share it with you: Today, we received our paid driverless permit from the CPUC! In the coming weeks, we’ll begin charging fares for rider-only trips and welcoming new riders into Waymo One in San Francisco. waymo.com/blog/2023/08/w…

@FareedZakaria @michiokaku Thanks for GPS, Fareed. I enjoy it every week. While I agree with your guest about Quantum's potential, I am not sure about the characterization that "LLMs are like tape recorders". LLM are all rage because they can reason ( through chain of thought).

AI is all the rage, but will quantum computing change the world much more substantially? My conversation with @michiokaku, whose new book is “Quantum Supremacy: How the Quantum Computer Revolution Will Change Everything”

I've been waiting for this 🤯 Open Source LLM Models Surpass GPT-3.5 🎉 In a groundbreaking development, a remarkable set of open-source LLM models has outperformed the capabilities of GPT-3.5. What truly amazed me is not only the exceptional performance of these models but also the astonishing dataset they were trained on. Surprisingly, this dataset consisted of just 6,000 GPT4 conversations. 🤯 It's clear that high-quality data is working wonders. ✨ A few more details: - OpenChat: Built upon LLAMA-13B, with a context length of 2048. - Achieves an impressive 105.7% of the ChatGPT score on the Vicuna GPT-4 evaluation. 🏆 - Achieves a remarkable 80.9% win-rate on AlpacaEval. 🥇 - OpenChat-8192: Based on LLaMA-13B, with an extended context length of 8192. - Achieves an outstanding 106.6% of the ChatGPT score on the Vicuna GPT-4 evaluation. 🌟 - Achieves an impressive 79.5% win-rate on AlpacaEval. 🥇 📚Links: OpenChat on HF: huggingface.co/openchat/openc… OpenChat 8192 on HF: huggingface.co/openchat/openc… OpenCoderPlus: huggingface.co/openchat/openc… Dataset: huggingface.co/datasets/openc… Code: github.com/imoneoi/opench…

Astounding progress in AI has led to speculation AI will cause explosive economic growth. @arjun_ramani3 and @zhengdongwang argue that such “transformative economic impact” from AI is much harder than at first glance. thegradient.pub/why-transforma…

Not only have they mapped out the fruit fly brain, but they actually boot it up in a computer and made it “eat” and “groom” 🤯

Code generated from LLMs is going to need more testing than code written by developers. This seems self-evident to me, but I suspect a lot of people are going to learn it (or ignore it) the hard way.

@alfcnz @alfcnz I posted my question under the comments section of the video. Thanks!

@vlele You’re welcome! If you have comments on the video, plz leave them directly below them for others to see them. Here they get completely lost. Thanks! 🙏🏻🙏🏻🙏🏻

@alfcnz In the lecture " 09L – Differentiable associative memories, attention, and transformers" [1:35:50], Yann suggested that state of art chatbots cannot answer a question like this, "if you ask a question like what is the country that has a common border with Germany with...

BTW, I have greatly enjoyed your videos. Thank you for the great content!

the largest commercial exchanges with China." See below – ChatGPT seems to have no trouble with this question.