Jim Bravo

Chief Strategist for Data Junkies International

Day Trading | Swing Trading | Private Equity | Retweets are not endorsements

[Movez @0xMovez]

Anthropic pays $750,000+ a year for engineers who can build LLM architectures from scratch.

This 2-hour Stanford lecture gives you the exact pipeline LLM engineers get paid $750K/year for.

Data + architecture + scaling laws + post-training.

Bookmark it & watch today. Then read article below.

[Bindu Reddy @bindureddy]

We will continue to see layoffs from companies with large eng teams

Engineers are producing 10-100x the code they used to....

This is causing a lot of instability in companies with large code bases and teams

The status-quo is simply not sustainable

[Jeremy R. Lawson @Mr_jrlawson]

Salynt is preparing to run its first neuroimaging pilot with 1–2 major hospitals in the DMV area.

Now, we need a strategic angel investor willing to help support one of these pilots and help get us across the line.

Goal: Pilot → first enterprise client → close seed round.

[Anuj @anujcodes_21]

We are cooked… this is 100% AI

PROMPT: "A professor writes out a mathematical proof for trigonometric identities on a traditional chalkboard, explaining the step he is currently on in the equation."

[Avi Chawla @_avichawla]

I have been fine-tuning LLMs for over 2 years now!

Here are the top 5 LLM fine-tuning techniques, explained with visuals:

First of all, what's so different about LLM finetuning?

Traditional fine‑tuning is impractical for LLMs (billions of params; 100s GB).

Since this kind of compute isn't accessible to everyone, parameter-efficient finetuning (PEFT) came into existence.

Before we go into details of each technique, here's some background that will help you better understand these techniques:

LLM weights are matrices of numbers adjusted during finetuning.

Most PEFT techniques involve finding a lower-rank adaptation of these matrices, a smaller-dimensional matrix that can still represent the information stored in the original.

Now with a basic understanding of the rank of a matrix, we're in a good position to understand the different finetuning techniques.

(refer to the image below for a visual explanation of each technique)

1) LoRA

- Add two low-rank trainable matrices, A and B, alongside weight matrices.
- Instead of fine-tuning W, adjust the updates in these low-rank matrices.

Even for the largest of LLMs, LoRA matrices take up a few MBs of memory.

2) LoRA-FA

While LoRA significantly decreases the total trainable parameters, it requires substantial activation memory to update the low-rank weights.

LoRA-FA (FA stands for Frozen-A) freezes matrix A and only updates matrix B.

3) VeRA

- In LoRA, low-rank matrices A and B are unique for each layer.
- In VeRA, A and B are frozen, random, and shared across all layers.
- Instead, it learns layer-specific scaling VECTORS (b and d) instead.

4) Delta-LoRA

- It tunes the matrix W as well, but not in the traditional way.
- Here, the difference (or delta) between the product of matrices A and B in two consecutive training steps is added to W.

5) LoRA+

- In LoRA, both matrices A and B are updated with the same learning rate.
- Authors of LoRA+ found that setting a higher learning rate for matrix B results in better convergence.
____
Find me → @_avichawla
Every day, I share tutorials and insights on DS, ML, LLMs, and RAGs.

[Elon Musk @elonmusk]

Yes

[Jeremy R. Lawson @Mr_jrlawson]

We're opening our pre-seed round 😁 #AI #HealthcareAI #MedTech

[Bindu Reddy @bindureddy]

We are not slowing down in December.

- OpenAI to release a GPT-5.2 to challenge Gemini 3
- SOTA video model from Kling
- Amazon's new Nova model just dropped!
- DeepSeek will launch an agentic version of V3.2

The Party Never Stops....

[Elon Musk @elonmusk]

Yes

[Nozz @NoahEpstein_]

gemini 3 just made every $15k ai consultant look like a clown

google silent-dropped autonomous agents to 650 million users yesterday

what consultants charge $15K and 6 weeks to "implement" now takes 4 minutes on a phone

here's what actually changed:

the model:
→ plans multi-step workflows autonomously
→ executes start to finish with zero hand-holding
→ optimized for non-experts (no CS degree needed)
→ already live on mobile canvas feature

while "AI agencies" are charging $8k-20k for strategy decks, google just deployed real automation to more people than chatgpt's entire user base

the intelligence gap is getting stupid:

that consultant billing $200/hr to "set up AI workflows" → the app does it autonomously now

that agency charging $15k for "custom AI implementation" → built in 4 minutes on gemini 3 mobile

that bootcamp selling "learn AI automation" for $2k → obsolete before the course launched

some startup just replaced their $18k/month AI consulting retainer with a free app

same output. 4 minute setup. zero technical knowledge required.

most businesses still think AI automation needs:
- 6 month roadmaps
- technical teams
- consulting firms
- $50k+ budgets

reality: it needs a phone and 4 minutes

your competition doesn't know this exists yet

but they will

comment "GEMINI" and i'll send you the breakdown of how to use this before everyone figures it out

[Jeremy R. Lawson @Mr_jrlawson]

Incredible experience touring Sibley Memorial Hospital with JHWI. From oncology to maternal health to innovation labs. My team and I left inspired, aligned, and even more committed to pushing what AI & virtual reality can do for healthcare. #Salynt #ai #startups #fundraising

[Kshitij Mishra | AI & Tech @DAIEvolutionHub]

What is an AI Agent? 🤖📘

AI Agents are the future of automation — they think, act & learn like humans ⚡

Also I’ve compiled 1000+ Materials — including AI Agents, LLMs, Prompting, SQL & Automation Guides 🚀

To get it 👇
1️⃣ Follow me (@daievolutionhub) so I can DM you
2️⃣ Repost this post 🔁
3️⃣ Comment “AI” 💬

#AI #AIAgent #LLM #MachineLearning #Automation #Tech

[Jeremy R. Lawson @Mr_jrlawson]

Responsibility is what distinguishes a boy from a man.

[Bindu Reddy @bindureddy]

Everyone's debating whether AI will replace jobs...

Meanwhile, AI is busy making every developer 10x more productive and turning junior engineers into senior-level contributors overnight!!

The real revolution isn't replacement - it's radical empowerment 🚀

[Jeremy R. Lawson @Mr_jrlawson]

I’m excited to share that Salynt has been accepted into the Johns Hopkins University Ward Infinity Accelerator & Fellowship for 2025 🙌🏾

#Salynt #AI #VR #WardInfinity #JohnsHopkins #FounderJourney #startups

[Rohit Kumar Tiwari @_rohit_tiwari_]

AI Agents, the practical guidebook

5 patterns. 5 levels. 12 real projects.

Everything shown step by step👇

What's inside?

1. What is an AI Agent?

2. Agent vs LLM vs RAG

3. LLM (Large Language Model)

4. RAG (Retrieval-Augmented Generation)

5. Building blocks of AI Agents
↳ Role-playing
↳ Focus/Tasks
↳ Tools (Custom tools, via MCP)
↳ Cooperation
↳ Guardrails
↳ Memory

6. Agentic AI Design Patterns
↳ Reflection pattern
↳ Tool use pattern
↳ ReAct (Reason and Act) pattern
↳ Planning pattern
↳ Multi-Agent pattern

7. Levels of Agentic AI Systems
↳ Basic responder
↳ Router pattern
↳ Tool calling
↳ Multi-agent pattern
↳ Autonomous pattern

8. AI Agents Projects
↳ Agentic RAG
↳ Voice RAG Agent
↳ Multi-agent Flight finder
↳ Financial Analyst
↳ Brand Monitoring System
↳ Multi-agent Hotel Finder
↳ Multi-agent Deep Researcher
↳ Human-like Memory for Agents
↳ Multi-agent Book Writer
↳ Multi-agent Content Creation System
↳ Documentation Writer Flow
↳ News Generator

Comment "Agents" and I'll DM you the 117 pages PDF.

Guidebook created by Daily Dose of Data Science.

♻ Repost if you found this useful.

[Elon Musk @elonmusk]

Grok is evolving much faster than any other AI.

If this rate of progress continues, @xAI will outpace other AI companies by a significant margin.

App upgrades are roughly on par with internal upgrades.

[Jeremy R. Lawson @Mr_jrlawson]

Your Relationships Matter!

[Sam Altman @sama]

great style bro

[Bindu Reddy @bindureddy]

DeepAgent one-shots this ENTIRE presentation with all the graphs and photos.

This is STRICTLY BETTER than what a human can do in 5 hours.

In a couple of weeks, this will get even better!!