In partnership with

Large Language Models (LLMs) have taken the world by storm, enabling many previously challenging applications of AI. We are now familiar with LLM and RAG-based applications and their roles in solving real-world problems.

However, we have observed that LLM responses can vary depending on the style of the prompt. The answer to a question may change based on how the question is structured.

That’s why we invest considerable time in prompt engineering to determine the best techniques, such as zero-shot prompts like “Let’s think step-by-step,” chain-of-thought (CoT), ReAct, Graph-of-thoughts, among others. Several frameworks, such as DSPy, help automate this journey.

Probably this motivated the development of prompting frameworks, which mediate between LLMs and the external world.

To address this issue, this paper introduces the Prompt Declaration Language (PDL). PDL is a simple, declarative, data-oriented language based on YAML.

It integrates well with various LLM platforms and supports the development of interactive applications that utilize LLMs and tools. PDL simplifies the implementation of common use cases such as chatbots, RAG, or agents.

10x Your Outbound With Our AI BDR

Imagine your calendar filling with qualified sales meetings, on autopilot. That's Ava's job. She's an AI BDR who automates your entire outbound demand generation.

Ava operates within the Artisan platform, which consolidates every tool you need for outbound:

• 300M+ High-Quality B2B Prospects

• Automated Lead Enrichment With 10+ Data Sources Included

• Full Email Deliverability Management

• Personalization Waterfall using LinkedIn, Twitter, Web Scraping & More

Book a demo and supercharge your sales team

🌸 From The Agent Community

🌼A couple of developers from JPMorgan have developed an agentic architecture called FISHNET (Financial Intelligence from Sub-querying, Harmonizing, Neural-Conditioning, Expert Swarming, and Task Planning). This architecture effectively handles highly complex analytical tasks for over 98,000 regulatory filings, which vary widely in terms of semantics, data hierarchy, and format.

FISHNET demonstrates remarkable performance in generating financial insights, achieving a 61.8% success rate, significantly surpassing the 5.0% success rate of routing methods and achieving 45.6% RAG R-Precision.

🌼 Amazon has introduced Knowledge-Graph Enhanced Language Agents (KGLA) to enhance the ranking capabilities in its recommendation systems.

Traditionally, recommendations have relied heavily on classical user-item embeddings.

A knowledge graph can be pivotal in this context. It links users and items with specific keywords, relationships, and even time preferences. Leveraging this connectivity, it effectively generates recommendations.

🌼Your AI Financial Advisor: Recommends stocks basis news.

🌼 You can now compare multiple models Google AI Studio, accessible via the “Compare” button in the top right of any prompt.

🌸Choice Cuts

🌼 Anthropic releases Claude 3.5 Haiku with 4x price of Calude 3 Haiku.

🌼 Apple + ChatGPT access via Siri for free, with option for paid upgrade

🌼 The behaviour of LLMs varies depending on their design, training, and use.

🌼 OpenAI’s o1 model leaked on Friday and it is wild.

🌼 DataChain is a modern Pythonic data-frame library designed for artificial intelligence. It is made to organize your unstructured data into datasets and wrangle it at scale on your local machine. Datachain does not abstract or hide the AI models and API calls, but helps to integrate them into the postmodern data stack.

🌼 In 2149, life is meticulously dictated by software that tracks and analyzes every facet of existence, from emotional triggers to optimal daily choices, streamlining lives into a seamlessly optimized journey “on rails.” As data privacy became obsolete, society embraced the Big Merge, pooling personal insights into a vast cloud that forecasts everything from personal fulfillment to global events, ensuring maximum efficiency and satisfaction.

🌸 Podcasts

There’s a lot more I could write about but I figure very few people will read this far anyways. If you did, you’re amazing and I appreciate you!

Love MusingsOnAI? Tell your friends!

📮Want to Advertise with us?

If your company is interested in reaching an audience of AI professionals and decision-makers, reach us.

If you have any comments or feedback, just respond to this email!

Thanks for reading, Let’s explore the world together!

Raahul